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</ul> </li> <li class="menu-item search"><a href="#" class="search-toggle"><i class="icon-search"></i></a></li></ul></div></nav><div class="archive-intro"><div class="wrap"><h1 class="archive-title"><span>Artificial Intelligence / Cognition</span></h1></div></div><div class="site-inner"><div class="wrap"><div class="content-sidebar-wrap"><main class="content"><article class="type-post entry has-post-thumbnail" aria-label="Smart Vision Works introduces SiftAI robotic potato sorter"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 23, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/smart-vision-works-introduces-siftai-robotic-potato-sorter/">Smart Vision Works introduces SiftAI robotic potato sorter</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/smart-vision-works-introduces-siftai-robotic-potato-sorter/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/11/siftai-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581715" alt="Two SiftAI Robotic Sorters from Smart Vision Works sort potatoes as they go down a conveyor belt." decoding="async" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/siftai-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/siftai-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/siftai-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/siftai-featured-366x238.jpg 366w, https://www.therobotreport.com/wp-content/uploads/2024/11/siftai-featured.jpg 796w" sizes="(max-width: 300px) 100vw, 300px" /></a><p>Smart Vision Works said its SiftAI robotic potato sorter will pay for itself in fewer than two years from installation. </p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Duality AI offers developers EDU license for Falcon digital twins, synthetic data"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 21, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/duality-ai-offers-developers-edu-license-for-falcon-digital-twins-synthetic-data/">Duality AI offers developers EDU license for Falcon digital twins, synthetic data</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/duality-ai-offers-developers-edu-license-for-falcon-digital-twins-synthetic-data/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/11/FalconEditor_Scenarios-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581674" alt="Scenarios in Duality AI's Falcon Editor, including an electrical tower, an automated guided vehicle, an autonomous mobile robot, and a humanoid robot." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/FalconEditor_Scenarios-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/FalconEditor_Scenarios-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/FalconEditor_Scenarios-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/FalconEditor_Scenarios-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/FalconEditor_Scenarios-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>The EDU program offers subscribers full access to Falcon’s comprehensive feature set, alongside community resources developed by Duality AI.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Nuro Driver expands Level 4 autonomous fleet in California and Texas"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 19, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/nuro-driver-expands-level-4-autonomous-deliveries-california-texas/">Nuro Driver expands Level 4 autonomous fleet in California and Texas</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/nuro-driver-expands-level-4-autonomous-deliveries-california-texas/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/11/Nuro-L4-expansion-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581632" alt="A small, boxy, white Nuro vehicle driving on a road with a glass building behind it." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/Nuro-L4-expansion-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/Nuro-L4-expansion-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/Nuro-L4-expansion-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/Nuro-L4-expansion-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/Nuro-L4-expansion-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>With this expanded deployment of zero-occupant vehicles, the company said Nuro Driver is ready to autonomously transport people and goods.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="MIT: LucidSim training system helps robots close Sim2Real gap"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/rgordon/" class="entry-author-link" rel="author"><span class="entry-author-name">Rachel Gordon | MIT News</span></a></span> | <time class="entry-time">November 17, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/mit-lucidsim-training-system-helps-robots-close-sim2real-gap/">MIT: LucidSim training system helps robots close Sim2Real gap</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/mit-lucidsim-training-system-helps-robots-close-sim2real-gap/" aria-hidden="true" tabindex="-1"><img width="300" height="169" src="https://www.therobotreport.com/wp-content/uploads/2024/11/generative-ai-mit-robot-dog-300x169.jpg" class="alignleft post-image entry-image wp-image-581621" alt="a quadruped robot learned to navigate new environments using generative ai." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/generative-ai-mit-robot-dog-300x169.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/generative-ai-mit-robot-dog-150x84.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/generative-ai-mit-robot-dog-768x432.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/generative-ai-mit-robot-dog-368x207.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/generative-ai-mit-robot-dog.jpg 1000w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>LucidSim uses generative AI and physics simulators to create realistic virtual training environments that help robots learns tasks without any real-world data.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="The AI Institute introduces Theia vision foundation model to improve robot learning"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 13, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/theia-vision-foundation-model-aiinstitute-generates-improve-robot-learning/">The AI Institute introduces Theia vision foundation model to improve robot learning</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/theia-vision-foundation-model-aiinstitute-generates-improve-robot-learning/" aria-hidden="true" tabindex="-1"><img width="300" height="174" src="https://www.therobotreport.com/wp-content/uploads/2024/11/Theia_models-300x174.jpg" class="alignleft post-image entry-image wp-image-581582" alt="Researchers used Theia to train a policy enabling a robot arm to microwave various types of toy food." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/Theia_models-300x174.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/Theia_models-150x87.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/Theia_models-768x446.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/Theia_models-368x214.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/Theia_models.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Theia is a visual foundation model that the AI Institute says can distill diverse models for policy learning at a lower computation cost.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Brain Corp fleet of autonomous mobile robots passes 250B square feet milestone"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 12, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/brain-corp-fleet-autonomous-mobile-robots-passes-250b-square-feet-milestone/">Brain Corp fleet of autonomous mobile robots passes 250B square feet milestone</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/brain-corp-fleet-autonomous-mobile-robots-passes-250b-square-feet-milestone/" aria-hidden="true" tabindex="-1"><img width="300" height="193" src="https://www.therobotreport.com/wp-content/uploads/2024/11/Brain_Corp_Dane-Air-2-copy-300x193.jpg" class="alignleft post-image entry-image wp-image-581528" alt="Brain Corp says its BrainOS powers the Dane Air 2 inventory robot, shown here." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/Brain_Corp_Dane-Air-2-copy-300x193.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/Brain_Corp_Dane-Air-2-copy-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/Brain_Corp_Dane-Air-2-copy-768x495.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/Brain_Corp_Dane-Air-2-copy-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/Brain_Corp_Dane-Air-2-copy.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Brain Corp marked the latest milestone as deployments of mobile robots using its BrainOS cloud platform grow across sectors.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Researchers use imitation learning to train surgical robots"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 11, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/researchers-use-imitation-learning-to-train-surgical-robots/">Researchers use imitation learning to train surgical robots</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/researchers-use-imitation-learning-to-train-surgical-robots/" aria-hidden="true" tabindex="-1"><img width="300" height="204" src="https://www.therobotreport.com/wp-content/uploads/2024/11/imitation-learning-surgical-robots-300x204.jpg" class="alignleft post-image entry-image wp-image-581523" alt="a surgical robot suturing a patient after a procedure." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/imitation-learning-surgical-robots-300x204.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/imitation-learning-surgical-robots-150x102.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/imitation-learning-surgical-robots-768x523.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/imitation-learning-surgical-robots-349x238.jpg 349w, https://www.therobotreport.com/wp-content/uploads/2024/11/imitation-learning-surgical-robots.jpg 1000w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Researchers said the successful use of imitation learning to train surgical robots could eliminate the need to program robots with each individual move required during a medical procedure and brings the field of robotic surgery closer to true autonomy.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="DeepRoute.ai closes $100M Series C1 led by Great Wall Motor"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/moitzman/" class="entry-author-link" rel="author"><span class="entry-author-name">Mike Oitzman</span></a></span> | <time class="entry-time">November 9, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/deeproute-ai-closes-100m-series-c1-led-by-great-wall-motor/">DeepRoute.ai closes $100M Series C1 led by Great Wall Motor</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/deeproute-ai-closes-100m-series-c1-led-by-great-wall-motor/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/11/deeproute-fleet-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581489" alt="fleet of DeepRoute.ai autonomous vehicles with mountains in the background." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/deeproute-fleet-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/deeproute-fleet-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/deeproute-fleet-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/deeproute-fleet-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/deeproute-fleet-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>DeepRoute.ai announced strategic funding led by Chinese automaker Great Wall Motor to develop a full self-driving stack.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="How Agility Robotics crosses the Sim2Real gap with NVIDIA Isaac Lab"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="" class="entry-author-link" rel="author"><span class="entry-author-name">Pras Velagapudi</span></a></span> | <time class="entry-time">November 8, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/how-agility-robotics-crosses-the-sim2real-gap-with-nvidia-isaac-lab/">How Agility Robotics crosses the Sim2Real gap with NVIDIA Isaac Lab</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/how-agility-robotics-crosses-the-sim2real-gap-with-nvidia-isaac-lab/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581481" alt="An image of dozens of Agility Robots in simulation." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured-1024x665.jpg 1024w, https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured-768x498.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured-1536x997.jpg 1536w, https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/agilityrobotics-featured.jpg 1664w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Agility Robotics gives insight into how it trains its humanoid robot Digit in simulation using NVIDIA’s robotics tools. </p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Fulcrum provides inspection data pipeline for Cantilever analysis, explains Gecko Robotics"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/edemaitre/" class="entry-author-link" rel="author"><span class="entry-author-name">Eugene Demaitre</span></a></span> | <time class="entry-time">November 8, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/fulcrum-provides-inspection-data-pipeline-for-cantilever-analysis-explains-gecko-robotics/">Fulcrum provides inspection data pipeline for Cantilever analysis, explains Gecko Robotics</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/fulcrum-provides-inspection-data-pipeline-for-cantilever-analysis-explains-gecko-robotics/" aria-hidden="true" tabindex="-1"><img width="300" height="194" src="https://www.therobotreport.com/wp-content/uploads/2024/11/Gecko_Cantilever-300x194.jpg" class="alignleft post-image entry-image wp-image-581476" alt="Screenshot of Gecko Robotics' Cantilever software analyzing data from a robotic tank inspection." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/Gecko_Cantilever-300x194.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/Gecko_Cantilever-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/Gecko_Cantilever-768x497.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/Gecko_Cantilever-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/Gecko_Cantilever.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Gecko Robotics has developed Fulcrum, which uses AI to provide high-quality infrastructure data to its Cantilever analytics software.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="CynLr raises Series A funding to realize robot vision for ‘universal factory’"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 6, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/cynlr-raises-series-a-funding-to-realize-robot-vision-for-universal-factory/">CynLr raises Series A funding to realize robot vision for ‘universal factory’</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/cynlr-raises-series-a-funding-to-realize-robot-vision-for-universal-factory/" aria-hidden="true" tabindex="-1"><img width="300" height="194" src="https://www.therobotreport.com/wp-content/uploads/2024/11/CyRo-Image-copy-300x194.jpg" class="alignleft post-image entry-image wp-image-581458" alt="CyRo from CynLr includes the CLX-01 perception system and robotic arms." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/CyRo-Image-copy-300x194.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/CyRo-Image-copy-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/CyRo-Image-copy-768x496.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/CyRo-Image-copy-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/CyRo-Image-copy.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>CynLr, which is developing technology to enable robots to manipulate unknown objects, will grow its team and expand its supply chain network.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Stanford Robotics Center partners with Stanford HAI for AI research, policy"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 6, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/stanford-robotics-center-partners-with-stanford-hai-for-ai-research/">Stanford Robotics Center partners with Stanford HAI for AI research, policy</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/stanford-robotics-center-partners-with-stanford-hai-for-ai-research/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/11/james-and-oussama-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581442" alt="HAI Co-Director James Landay and Stanford Robotics Lab Director Oussama Khatib." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/james-and-oussama-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/james-and-oussama-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/james-and-oussama-featured-768x498.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/james-and-oussama-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/james-and-oussama-featured.jpg 960w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>The Stanford Robotics Center and Stanford HAI have partnered to explain rapid advances in artificial intelligence to policymakers. </p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="NVIDIA adds open AI and simulation tools for robot learning, humanoid development"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 6, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/nvidia-adds-ai-simulation-tools-robot-learning-humanoid-development/">NVIDIA adds open AI and simulation tools for robot learning, humanoid development</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/nvidia-adds-ai-simulation-tools-robot-learning-humanoid-development/" aria-hidden="true" tabindex="-1"><img width="300" height="184" src="https://www.therobotreport.com/wp-content/uploads/2024/11/NVIDIA-Robotics-News-Isaac-Lab-GR00T_launch-300x184.jpg" class="alignleft post-image entry-image wp-image-581421" alt="New Project GR00T workflows and AI world model development technologies to accelerate robot dexterity, control, manipulation and mobility." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/NVIDIA-Robotics-News-Isaac-Lab-GR00T_launch-300x184.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/NVIDIA-Robotics-News-Isaac-Lab-GR00T_launch-150x92.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/NVIDIA-Robotics-News-Isaac-Lab-GR00T_launch-768x472.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/NVIDIA-Robotics-News-Isaac-Lab-GR00T_launch-368x226.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/NVIDIA-Robotics-News-Isaac-Lab-GR00T_launch.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>NVIDIA said its Project GR00T workflows and model tools, plus its Hugging Face partnership, will boost robot dexterity and mobility.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Standard Bots acquires READY Robotics’ IP to advance AI for robot training"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/edemaitre/" class="entry-author-link" rel="author"><span class="entry-author-name">Eugene Demaitre</span></a></span> | <time class="entry-time">November 5, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/standard-bots-acquires-ready-robotics-ip-advance-ai-robot-training/">Standard Bots acquires READY Robotics’ IP to advance AI for robot training</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/standard-bots-acquires-ready-robotics-ip-advance-ai-robot-training/" aria-hidden="true" tabindex="-1"><img width="300" height="193" src="https://www.therobotreport.com/wp-content/uploads/2024/11/Standard_Bots_Software-300x193.jpg" class="alignleft post-image entry-image wp-image-581415" alt="Standard Bots will use READY Robotics APIs to make its AI control software usable with multiple robot models." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/Standard_Bots_Software-300x193.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/Standard_Bots_Software-150x96.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/Standard_Bots_Software-768x494.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/Standard_Bots_Software-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/Standard_Bots_Software.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Standard Bots says the intellectual property of READY Robotics will make it easier to build applications atop foundation models.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Physical Intelligence raises $400M for foundation models for robotics"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/edemaitre/" class="entry-author-link" rel="author"><span class="entry-author-name">Eugene Demaitre</span></a></span> | <time class="entry-time">November 4, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/physical-intelligence-raises-400m-for-foundation-models-for-robotics/">Physical Intelligence raises $400M for foundation models for robotics</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/physical-intelligence-raises-400m-for-foundation-models-for-robotics/" aria-hidden="true" tabindex="-1"><img width="300" height="194" src="https://www.therobotreport.com/wp-content/uploads/2024/11/Physical_Intelligence_fundraising_models-300x194.jpg" class="alignleft post-image entry-image wp-image-581412" alt="Physical Intelligence demonstrates the application of foundation models to training robots for tasks such as folding laundry and assembling cardboard boxes." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/Physical_Intelligence_fundraising_models-300x194.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/Physical_Intelligence_fundraising_models-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/Physical_Intelligence_fundraising_models-768x497.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/Physical_Intelligence_fundraising_models-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/Physical_Intelligence_fundraising_models.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Physical Intelligence is among the companies working to apply foundation models to training general-purpose robots.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="GelSight, Meta AI release Digit 360 tactile sensor for robotic fingers"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">November 2, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/gelsight-meta-ai-release-digit-360-tactile-sensor-for-robotic-fingers/">GelSight, Meta AI release Digit 360 tactile sensor for robotic fingers</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/gelsight-meta-ai-release-digit-360-tactile-sensor-for-robotic-fingers/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/10/gelsight-metaai-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581374" alt="A robotic hand with glowing fingertips reaching out to touch a sheer fabric. Meta AI is working with GelSight on tactile sensing." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/10/gelsight-metaai-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/10/gelsight-metaai-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/10/gelsight-metaai-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/10/gelsight-metaai-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/10/gelsight-metaai-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Digit 360 deepens GelSight and Meta AI’s existing partnership and fosters a community-driven approach to robotics research.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Top 10 robotics developments of October 2024"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/bwessling/" class="entry-author-link" rel="author"><span class="entry-author-name">Brianna Wessling</span></a></span> | <time class="entry-time">November 1, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/top-10-robotics-developments-of-october-2024/">Top 10 robotics developments of October 2024</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/top-10-robotics-developments-of-october-2024/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/11/october2024-robotop10-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581380" alt="Four images showing some of the top stories on The Robot Report in October, in the top left a Corvus drone flying through a warehouse, then Fourier's GR-2 humanoid stacking boxes, then Universal Robots' UR AI Accelerator toolkit, then the Swiss-Mile wheeled quadruped." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/11/october2024-robotop10-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/11/october2024-robotop10-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/11/october2024-robotop10-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/11/october2024-robotop10-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/11/october2024-robotop10-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>In October 2024, large funding rounds, new AI product developments, and, of course, humanoids were drew readers’ attention.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Advantech partners with oToBrite to create low-latency AI for AMRs"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">October 31, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/advantech-partners-with-otobrite-to-create-low-latency-ai-for-amrs/">Advantech partners with oToBrite to create low-latency AI for AMRs</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/advantech-partners-with-otobrite-to-create-low-latency-ai-for-amrs/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/10/advantechotobrite-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581338" alt="A graphic showing oToBrite's automotive GMSL cameras and the Intel Core Ultra H/U which works with Advantech's AI." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/10/advantechotobrite-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/10/advantechotobrite-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/10/advantechotobrite-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/10/advantechotobrite-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/10/advantechotobrite-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Advantech and oToBrite said the joint system will enable high-resolution, low-latency AI for next-generation AMRs.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Doctor describes first robotic high intensity ultrasound procedures with Focal One, Unfold AI"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/bwessling/" class="entry-author-link" rel="author"><span class="entry-author-name">Brianna Wessling</span></a></span> | <time class="entry-time">October 29, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/doctor-describes-first-robotic-hifu-procedures-focal-one-unfold-ai/">Doctor describes first robotic high intensity ultrasound procedures with Focal One, Unfold AI</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/doctor-describes-first-robotic-hifu-procedures-focal-one-unfold-ai/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/09/Focal-One-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-580877" alt="The Focal One robotic HIFU ablation system with Avenda AI." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/09/Focal-One-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/09/Focal-One-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/09/Focal-One-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/09/Focal-One-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/09/Focal-One-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Avenda Health’s Unfold AI is a multimodal AI decision support platform cleared by the Food and Drug Administration.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="MIT develops multimodal technique to train robots"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/azewe/" class="entry-author-link" rel="author"><span class="entry-author-name">Adam Zewe</span></a></span> | <time class="entry-time">October 29, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/mit-develops-multimodal-technique-to-train-robots/">MIT develops multimodal technique to train robots</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/mit-develops-multimodal-technique-to-train-robots/" aria-hidden="true" tabindex="-1"><img width="300" height="200" src="https://www.therobotreport.com/wp-content/uploads/2024/10/MIT-HeteroGenRobot-01-press_0-300x200.jpg" class="alignleft post-image entry-image wp-image-581325" alt="" decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/10/MIT-HeteroGenRobot-01-press_0-300x200.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/10/MIT-HeteroGenRobot-01-press_0-150x100.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/10/MIT-HeteroGenRobot-01-press_0-768x512.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/10/MIT-HeteroGenRobot-01-press_0-357x238.jpg 357w, https://www.therobotreport.com/wp-content/uploads/2024/10/MIT-HeteroGenRobot-01-press_0.jpg 900w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="Path Robotics raises $100M to automate welding"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">October 28, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/path-robotics-raises-100m-to-automate-welding/">Path Robotics raises $100M to automate welding</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/path-robotics-raises-100m-to-automate-welding/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/10/path-robotics-d-round-funding-featured-300x195.jpg" class="alignleft post-image entry-image wp-image-581316" alt="A grayscale image of Path Robotics' autonomous welder, with the company's logo at the top, and white text reading $100 Million Series D." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/10/path-robotics-d-round-funding-featured-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/10/path-robotics-d-round-funding-featured-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/10/path-robotics-d-round-funding-featured-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/10/path-robotics-d-round-funding-featured-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/10/path-robotics-d-round-funding-featured.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>Founded in 2018 by brothers Andy and Alex Lonsberry, Path Robotics’ goal is to fill gaps in the manufacturing industry, starting with welding.</p> </div><footer class="entry-footer"></footer></article><article class="type-post entry has-post-thumbnail" aria-label="FIRA update; Practical Applications of Embodied AI and Humanoid Robots"><header class="entry-header"><p class="entry-meta"><span class="entry-author">By <a href="https://www.therobotreport.com/author/trr-editor/" class="entry-author-link" rel="author"><span class="entry-author-name">The Robot Report Staff</span></a></span> | <time class="entry-time">October 28, 2024</time></p><h2 class="entry-title"><a class="entry-title-link" rel="bookmark" href="https://www.therobotreport.com/podcast-fira-practical-apps-embodied-ai-humanoid-robots/">FIRA update; Practical Applications of Embodied AI and Humanoid Robots</a></h2> </header><div class="entry-content"><a class="entry-image-link" href="https://www.therobotreport.com/podcast-fira-practical-apps-embodied-ai-humanoid-robots/" aria-hidden="true" tabindex="-1"><img width="300" height="195" src="https://www.therobotreport.com/wp-content/uploads/2024/10/episode-169-cover-imageRobotics-1-300x195.jpg" class="alignleft post-image entry-image wp-image-581387" alt="headshots of Dr. Russ Tedrake from Toyota Research Institute, and Scott Kuindersma from Boston Dynamics with The Robot Report podcast logo. This episode also recaps FIRA." decoding="async" loading="lazy" srcset="https://www.therobotreport.com/wp-content/uploads/2024/10/episode-169-cover-imageRobotics-1-300x195.jpg 300w, https://www.therobotreport.com/wp-content/uploads/2024/10/episode-169-cover-imageRobotics-1-150x97.jpg 150w, https://www.therobotreport.com/wp-content/uploads/2024/10/episode-169-cover-imageRobotics-1-768x499.jpg 768w, https://www.therobotreport.com/wp-content/uploads/2024/10/episode-169-cover-imageRobotics-1-368x238.jpg 368w, https://www.therobotreport.com/wp-content/uploads/2024/10/episode-169-cover-imageRobotics-1.jpg 770w" sizes="auto, (max-width: 300px) 100vw, 300px" /></a><p>We recap the the 2024 FIRA event and sit down with Russ Tedrake from Toyota Research Institute and Scott Kuindersma from Boston Dynamics.</p> </div><footer class="entry-footer"></footer></article><div class="archive-pagination pagination"><div class="pagination-next alignright"><a 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'' : 'readonly'; if ( data.describe ) { if ( 'image' === data.type ) { #> <input type="text" value="{{ data.caption }}" class="describe" data-setting="caption" aria-label="Caption" placeholder="Caption…" {{ maybeReadOnly }} /> <# } else { #> <input type="text" value="{{ data.title }}" class="describe" data-setting="title" <# if ( 'video' === data.type ) { #> aria-label="Video title" placeholder="Video title…" <# } else if ( 'audio' === data.type ) { #> aria-label="Audio title" placeholder="Audio title…" <# } else { #> aria-label="Media title" placeholder="Media title…" <# } #> {{ maybeReadOnly }} /> <# } } #> </script> <script type="text/html" id="tmpl-attachment-details"> <h2> Attachment Details <span class="settings-save-status" role="status"> <span class="spinner"></span> <span class="saved">Saved.</span> </span> </h2> <div class="attachment-info"> <# if ( 'audio' === data.type ) { #> <div class="wp-media-wrapper wp-audio"> <audio style="visibility: hidden" controls class="wp-audio-shortcode" width="100%" preload="none"> <source type="{{ data.mime }}" src="{{ data.url }}" /> </audio> </div> <# } else if ( 'video' === data.type ) { var w_rule = ''; if ( data.width ) { w_rule = 'width: ' + data.width + 'px;'; } else if ( wp.media.view.settings.contentWidth ) { w_rule = 'width: ' + wp.media.view.settings.contentWidth + 'px;'; } #> <div style="{{ w_rule }}" class="wp-media-wrapper wp-video"> <video controls="controls" class="wp-video-shortcode" preload="metadata" <# if ( data.width ) { #>width="{{ data.width }}"<# } #> <# if ( data.height ) { #>height="{{ data.height }}"<# } #> <# if ( data.image && data.image.src !== data.icon ) { #>poster="{{ data.image.src }}"<# } #>> <source type="{{ data.mime }}" src="{{ data.url }}" /> </video> </div> <# } else { #> <div class="thumbnail thumbnail-{{ data.type }}"> <# if ( data.uploading ) { #> <div class="media-progress-bar"><div></div></div> <# } else if ( 'image' === data.type && data.size && data.size.url ) { #> <img src="{{ data.size.url }}" draggable="false" alt="" /> <# } else { #> <img src="{{ data.icon }}" class="icon" draggable="false" alt="" /> <# } #> </div> <# } #> <div class="details"> <div class="filename">{{ data.filename }}</div> <div class="uploaded">{{ data.dateFormatted }}</div> <div class="file-size">{{ data.filesizeHumanReadable }}</div> <# if ( 'image' === data.type && ! data.uploading ) { #> <# if ( data.width && data.height ) { #> <div class="dimensions"> {{ data.width }} by {{ data.height }} pixels </div> <# } #> <# if ( data.originalImageURL && data.originalImageName ) { #> <div class="word-wrap-break-word"> Original image: <a href="{{ data.originalImageURL }}">{{data.originalImageName}}</a> </div> <# } #> <# if ( data.can.save && data.sizes ) { #> <a class="edit-attachment" href="{{ data.editLink }}&image-editor" target="_blank">Edit Image</a> <# } #> <# } #> <# if ( data.fileLength && data.fileLengthHumanReadable ) { #> <div class="file-length">Length: <span aria-hidden="true">{{ data.fileLengthHumanReadable }}</span> <span class="screen-reader-text">{{ data.fileLengthHumanReadable }}</span> </div> <# } #> <# if ( data.mediaStates ) { #> <div class="media-states"><strong>Used as:</strong> {{ data.mediaStates }}</div> <# } #> <# if ( ! data.uploading && data.can.remove ) { #> <button type="button" class="button-link delete-attachment">Delete permanently</button> <# } #> <div class="compat-meta"> <# if ( data.compat && data.compat.meta ) { #> {{{ data.compat.meta }}} <# } #> </div> </div> </div> <# var maybeReadOnly = data.can.save || data.allowLocalEdits ? '' : 'readonly'; #> <# if ( 'image' === data.type ) { #> <span class="setting alt-text has-description" data-setting="alt"> <label for="attachment-details-alt-text" class="name">Alt Text</label> <textarea id="attachment-details-alt-text" aria-describedby="alt-text-description" {{ maybeReadOnly }}>{{ data.alt }}</textarea> </span> <p class="description" id="alt-text-description"><a href="https://www.w3.org/WAI/tutorials/images/decision-tree/" target="_blank">Learn how to describe the purpose of the image<span class="screen-reader-text"> (opens in a new tab)</span></a>. Leave empty if the image is purely decorative.</p> <# } #> <span class="setting" data-setting="title"> <label for="attachment-details-title" class="name">Title</label> <input type="text" id="attachment-details-title" value="{{ data.title }}" {{ maybeReadOnly }} /> </span> <# if ( 'audio' === data.type ) { #> <span class="setting" data-setting="artist"> <label for="attachment-details-artist" class="name">Artist</label> <input type="text" id="attachment-details-artist" value="{{ data.artist || data.meta.artist || '' }}" /> </span> <span class="setting" data-setting="album"> <label for="attachment-details-album" class="name">Album</label> <input type="text" id="attachment-details-album" value="{{ data.album || data.meta.album || '' }}" /> </span> <# } #> <span class="setting" data-setting="caption"> <label for="attachment-details-caption" class="name">Caption</label> <textarea id="attachment-details-caption" {{ maybeReadOnly }}>{{ data.caption }}</textarea> </span> <span class="setting" data-setting="description"> <label for="attachment-details-description" class="name">Description</label> <textarea id="attachment-details-description" {{ maybeReadOnly }}>{{ data.description }}</textarea> </span> <span class="setting" data-setting="url"> <label for="attachment-details-copy-link" class="name">File URL:</label> <input type="text" class="attachment-details-copy-link" id="attachment-details-copy-link" value="{{ data.url }}" readonly /> <div class="copy-to-clipboard-container"> <button type="button" class="button button-small copy-attachment-url" data-clipboard-target="#attachment-details-copy-link">Copy URL to clipboard</button> <span class="success hidden" aria-hidden="true">Copied!</span> </div> </span> </script> <script type="text/html" id="tmpl-media-selection"> <div class="selection-info"> <span class="count"></span> <# if ( data.editable ) { #> <button type="button" class="button-link edit-selection">Edit Selection</button> <# } #> <# if ( data.clearable ) { #> <button type="button" class="button-link clear-selection">Clear</button> <# } #> </div> <div class="selection-view"></div> </script> <script type="text/html" id="tmpl-attachment-display-settings"> <h2>Attachment Display Settings</h2> <# if ( 'image' === data.type ) { #> <span class="setting align"> <label for="attachment-display-settings-alignment" class="name">Alignment</label> <select id="attachment-display-settings-alignment" class="alignment" data-setting="align" <# if ( data.userSettings ) { #> data-user-setting="align" <# } #>> <option value="left"> Left </option> <option value="center"> Center </option> <option value="right"> Right </option> <option value="none" selected> None </option> </select> </span> <# } #> <span class="setting"> <label for="attachment-display-settings-link-to" class="name"> <# if ( data.model.canEmbed ) { #> Embed or Link <# } else { #> Link To <# } #> </label> <select id="attachment-display-settings-link-to" class="link-to" data-setting="link" <# if ( data.userSettings && ! data.model.canEmbed ) { #> data-user-setting="urlbutton" <# } #>> <# if ( data.model.canEmbed ) { #> <option value="embed" selected> Embed Media Player </option> <option value="file"> <# } else { #> <option value="none" selected> None </option> <option value="file"> <# } #> <# if ( data.model.canEmbed ) { #> Link to Media File <# } else { #> Media File <# } #> </option> <option value="post"> <# if ( data.model.canEmbed ) { #> Link to Attachment Page <# } else { #> Attachment Page <# } #> </option> <# if ( 'image' === data.type ) { #> <option value="custom"> Custom URL </option> <# } #> </select> </span> <span class="setting"> <label for="attachment-display-settings-link-to-custom" class="name">URL</label> <input type="text" id="attachment-display-settings-link-to-custom" class="link-to-custom" data-setting="linkUrl" /> </span> <# if ( 'undefined' !== typeof data.sizes ) { #> <span class="setting"> <label for="attachment-display-settings-size" class="name">Size</label> <select id="attachment-display-settings-size" class="size" name="size" data-setting="size" <# if ( data.userSettings ) { #> data-user-setting="imgsize" <# } #>> <# var size = data.sizes['thumbnail']; if ( size ) { #> <option value="thumbnail" > Thumbnail – {{ size.width }} × {{ size.height }} </option> <# } #> <# var size = data.sizes['medium']; if ( size ) { #> <option value="medium" > Medium – {{ size.width }} × {{ size.height }} </option> <# } #> <# var size = data.sizes['large']; if ( size ) { #> <option value="large" > Large – {{ size.width }} × {{ size.height }} </option> <# } #> <# var size = data.sizes['full']; if ( size ) { #> <option value="full" selected='selected'> Full Size – {{ size.width }} × {{ size.height }} </option> <# } #> </select> </span> <# } #> </script> <script type="text/html" id="tmpl-gallery-settings"> <h2>Gallery Settings</h2> <span class="setting"> <label for="gallery-settings-link-to" class="name">Link To</label> <select id="gallery-settings-link-to" class="link-to" data-setting="link" <# if ( data.userSettings ) { #> data-user-setting="urlbutton" <# } #>> <option value="post" <# if ( ! wp.media.galleryDefaults.link || 'post' === wp.media.galleryDefaults.link ) { #>selected="selected"<# } #>> Attachment Page </option> <option value="file" <# if ( 'file' === wp.media.galleryDefaults.link ) { #>selected="selected"<# } #>> Media File </option> <option value="none" <# if ( 'none' === wp.media.galleryDefaults.link ) { #>selected="selected"<# } #>> None </option> </select> </span> <span class="setting"> <label for="gallery-settings-columns" class="name select-label-inline">Columns</label> <select id="gallery-settings-columns" class="columns" name="columns" data-setting="columns"> <option value="1" <# if ( 1 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 1 </option> <option value="2" <# if ( 2 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 2 </option> <option value="3" <# if ( 3 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 3 </option> <option value="4" <# if ( 4 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 4 </option> <option value="5" <# if ( 5 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 5 </option> <option value="6" <# if ( 6 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 6 </option> <option value="7" <# if ( 7 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 7 </option> <option value="8" <# if ( 8 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 8 </option> <option value="9" <# if ( 9 == wp.media.galleryDefaults.columns ) { #>selected="selected"<# } #>> 9 </option> </select> </span> <span class="setting"> <input type="checkbox" id="gallery-settings-random-order" data-setting="_orderbyRandom" /> <label for="gallery-settings-random-order" class="checkbox-label-inline">Random Order</label> </span> <span class="setting size"> <label for="gallery-settings-size" class="name">Size</label> <select id="gallery-settings-size" class="size" name="size" data-setting="size" <# if ( data.userSettings ) { #> data-user-setting="imgsize" <# } #> > <option value="thumbnail"> Thumbnail </option> <option value="medium"> Medium </option> <option value="large"> Large </option> <option value="full"> Full Size </option> </select> </span> </script> <script type="text/html" id="tmpl-playlist-settings"> <h2>Playlist Settings</h2> <# var emptyModel = _.isEmpty( data.model ), isVideo = 'video' === data.controller.get('library').props.get('type'); #> <span class="setting"> <input type="checkbox" id="playlist-settings-show-list" data-setting="tracklist" <# if ( emptyModel ) { #> checked="checked" <# } #> /> <label for="playlist-settings-show-list" class="checkbox-label-inline"> <# if ( isVideo ) { #> Show Video List <# } else { #> Show Tracklist <# } #> </label> </span> <# if ( ! isVideo ) { #> <span class="setting"> <input type="checkbox" id="playlist-settings-show-artist" data-setting="artists" <# if ( emptyModel ) { #> checked="checked" <# } #> /> <label for="playlist-settings-show-artist" class="checkbox-label-inline"> Show Artist Name in Tracklist </label> </span> <# } #> <span class="setting"> <input type="checkbox" id="playlist-settings-show-images" data-setting="images" <# if ( emptyModel ) { #> checked="checked" <# } #> /> <label for="playlist-settings-show-images" class="checkbox-label-inline"> Show Images </label> </span> </script> <script type="text/html" id="tmpl-embed-link-settings"> <span class="setting link-text"> <label for="embed-link-settings-link-text" class="name">Link Text</label> <input type="text" id="embed-link-settings-link-text" class="alignment" data-setting="linkText" /> </span> <div class="embed-container" style="display: none;"> <div class="embed-preview"></div> </div> </script> <script type="text/html" id="tmpl-embed-image-settings"> <div class="wp-clearfix"> <div class="thumbnail"> <img src="{{ data.model.url }}" draggable="false" alt="" /> </div> </div> <span class="setting alt-text has-description"> <label for="embed-image-settings-alt-text" class="name">Alternative Text</label> <textarea id="embed-image-settings-alt-text" data-setting="alt" aria-describedby="alt-text-description"></textarea> </span> <p class="description" id="alt-text-description"><a href="https://www.w3.org/WAI/tutorials/images/decision-tree/" target="_blank">Learn how to describe the purpose of the image<span class="screen-reader-text"> (opens in a new tab)</span></a>. Leave empty if the image is purely decorative.</p> <span class="setting caption"> <label for="embed-image-settings-caption" class="name">Caption</label> <textarea id="embed-image-settings-caption" data-setting="caption"></textarea> </span> <fieldset class="setting-group"> <legend class="name">Align</legend> <span class="setting align"> <span class="button-group button-large" data-setting="align"> <button class="button" value="left"> Left </button> <button class="button" value="center"> Center </button> <button class="button" value="right"> Right </button> <button class="button active" value="none"> None </button> </span> </span> </fieldset> <fieldset class="setting-group"> <legend class="name">Link To</legend> <span class="setting link-to"> <span class="button-group button-large" data-setting="link"> <button class="button" value="file"> Image URL </button> <button class="button" value="custom"> Custom URL </button> <button class="button active" value="none"> None </button> </span> </span> <span class="setting"> <label for="embed-image-settings-link-to-custom" class="name">URL</label> <input type="text" id="embed-image-settings-link-to-custom" class="link-to-custom" data-setting="linkUrl" /> </span> </fieldset> </script> <script type="text/html" id="tmpl-image-details"> <div class="media-embed"> <div class="embed-media-settings"> <div class="column-settings"> <span class="setting alt-text has-description"> <label for="image-details-alt-text" class="name">Alternative Text</label> <textarea id="image-details-alt-text" data-setting="alt" aria-describedby="alt-text-description">{{ data.model.alt }}</textarea> </span> <p class="description" id="alt-text-description"><a href="https://www.w3.org/WAI/tutorials/images/decision-tree/" target="_blank">Learn how to describe the purpose of the image<span class="screen-reader-text"> (opens in a new tab)</span></a>. Leave empty if the image is purely decorative.</p> <span class="setting caption"> <label for="image-details-caption" class="name">Caption</label> <textarea id="image-details-caption" data-setting="caption">{{ data.model.caption }}</textarea> </span> <h2>Display Settings</h2> <fieldset class="setting-group"> <legend class="legend-inline">Align</legend> <span class="setting align"> <span class="button-group button-large" data-setting="align"> <button class="button" value="left"> Left </button> <button class="button" value="center"> Center </button> <button class="button" value="right"> Right </button> <button class="button active" value="none"> None </button> </span> </span> </fieldset> <# if ( data.attachment ) { #> <# if ( 'undefined' !== typeof data.attachment.sizes ) { #> <span class="setting size"> <label for="image-details-size" class="name">Size</label> <select id="image-details-size" class="size" name="size" data-setting="size" <# if ( data.userSettings ) { #> data-user-setting="imgsize" <# } #>> <# var size = data.sizes['thumbnail']; if ( size ) { #> <option value="thumbnail"> Thumbnail – {{ size.width }} × {{ size.height }} </option> <# } #> <# var size = data.sizes['medium']; if ( size ) { #> <option value="medium"> Medium – {{ size.width }} × {{ size.height }} </option> <# } #> <# var size = data.sizes['large']; if ( size ) { #> <option value="large"> Large – {{ size.width }} × {{ size.height }} </option> <# } #> <# var size = data.sizes['full']; if ( size ) { #> <option value="full"> Full Size – {{ size.width }} × {{ size.height }} </option> <# } #> <option value="custom"> Custom Size </option> </select> </span> <# } #> <div class="custom-size wp-clearfix<# if ( data.model.size !== 'custom' ) { #> hidden<# } #>"> <span class="custom-size-setting"> <label for="image-details-size-width">Width</label> <input type="number" id="image-details-size-width" aria-describedby="image-size-desc" data-setting="customWidth" step="1" value="{{ data.model.customWidth }}" /> </span> <span class="sep" aria-hidden="true">×</span> <span class="custom-size-setting"> <label for="image-details-size-height">Height</label> <input type="number" id="image-details-size-height" aria-describedby="image-size-desc" data-setting="customHeight" step="1" value="{{ data.model.customHeight }}" /> </span> <p id="image-size-desc" class="description">Image size in pixels</p> </div> <# } #> <span class="setting link-to"> <label for="image-details-link-to" class="name">Link To</label> <select id="image-details-link-to" data-setting="link"> <# if ( data.attachment ) { #> <option value="file"> Media File </option> <option value="post"> Attachment Page </option> <# } else { #> <option value="file"> Image URL </option> <# } #> <option value="custom"> Custom URL </option> <option value="none"> None </option> </select> </span> <span class="setting"> <label for="image-details-link-to-custom" class="name">URL</label> <input type="text" id="image-details-link-to-custom" class="link-to-custom" data-setting="linkUrl" /> </span> <div class="advanced-section"> <h2><button type="button" class="button-link advanced-toggle">Advanced Options</button></h2> <div class="advanced-settings hidden"> <div class="advanced-image"> <span class="setting title-text"> <label for="image-details-title-attribute" class="name">Image Title Attribute</label> <input type="text" id="image-details-title-attribute" data-setting="title" value="{{ data.model.title }}" /> </span> <span class="setting extra-classes"> <label for="image-details-css-class" class="name">Image CSS Class</label> <input type="text" id="image-details-css-class" data-setting="extraClasses" value="{{ data.model.extraClasses }}" /> </span> </div> <div class="advanced-link"> <span class="setting link-target"> <input type="checkbox" id="image-details-link-target" data-setting="linkTargetBlank" value="_blank" <# if ( data.model.linkTargetBlank ) { #>checked="checked"<# } #>> <label for="image-details-link-target" class="checkbox-label">Open link in a new tab</label> </span> <span class="setting link-rel"> <label for="image-details-link-rel" class="name">Link Rel</label> <input type="text" id="image-details-link-rel" data-setting="linkRel" value="{{ data.model.linkRel }}" /> </span> <span class="setting link-class-name"> <label for="image-details-link-css-class" class="name">Link CSS Class</label> <input type="text" id="image-details-link-css-class" data-setting="linkClassName" value="{{ data.model.linkClassName }}" /> </span> </div> </div> </div> </div> <div class="column-image"> <div class="image"> <img src="{{ data.model.url }}" draggable="false" alt="" /> <# if ( data.attachment && window.imageEdit ) { #> <div class="actions"> <input type="button" class="edit-attachment button" value="Edit Original" /> <input type="button" class="replace-attachment button" value="Replace" /> </div> <# } #> </div> </div> </div> </div> </script> <script type="text/html" id="tmpl-image-editor"> <div id="media-head-{{ data.id }}"></div> <div id="image-editor-{{ data.id }}"></div> </script> <script type="text/html" id="tmpl-audio-details"> <# var ext, html5types = { mp3: wp.media.view.settings.embedMimes.mp3, ogg: wp.media.view.settings.embedMimes.ogg }; #> <div class="media-embed media-embed-details"> <div class="embed-media-settings embed-audio-settings"> <audio style="visibility: hidden" controls class="wp-audio-shortcode" width="{{ _.isUndefined( data.model.width ) ? 400 : data.model.width }}" preload="{{ _.isUndefined( data.model.preload ) ? 'none' : data.model.preload }}" <# if ( ! _.isUndefined( data.model.autoplay ) && data.model.autoplay ) { #> autoplay<# } if ( ! _.isUndefined( data.model.loop ) && data.model.loop ) { #> loop<# } #> > <# if ( ! _.isEmpty( data.model.src ) ) { #> <source src="{{ data.model.src }}" type="{{ wp.media.view.settings.embedMimes[ data.model.src.split('.').pop() ] }}" /> <# } #> <# if ( ! _.isEmpty( data.model.mp3 ) ) { #> <source src="{{ data.model.mp3 }}" type="{{ wp.media.view.settings.embedMimes[ 'mp3' ] }}" /> <# } #> <# if ( ! _.isEmpty( data.model.ogg ) ) { #> <source src="{{ data.model.ogg }}" type="{{ wp.media.view.settings.embedMimes[ 'ogg' ] }}" /> <# } #> <# if ( ! _.isEmpty( data.model.flac ) ) { #> <source src="{{ data.model.flac }}" type="{{ wp.media.view.settings.embedMimes[ 'flac' ] }}" /> <# } #> <# if ( ! _.isEmpty( data.model.m4a ) ) { #> <source src="{{ data.model.m4a }}" type="{{ wp.media.view.settings.embedMimes[ 'm4a' ] }}" /> <# } #> <# if ( ! _.isEmpty( data.model.wav ) ) { #> <source src="{{ data.model.wav }}" type="{{ wp.media.view.settings.embedMimes[ 'wav' ] }}" /> <# } #> </audio> <# if ( ! _.isEmpty( data.model.src ) ) { ext = data.model.src.split('.').pop(); if ( html5types[ ext ] ) { delete html5types[ ext ]; } #> <span class="setting"> <label for="audio-details-source" class="name">URL</label> <input type="text" id="audio-details-source" readonly data-setting="src" value="{{ data.model.src }}" /> <button type="button" class="button-link remove-setting">Remove audio source</button> </span> <# } #> <# if ( ! _.isEmpty( data.model.mp3 ) ) { if ( ! _.isUndefined( html5types.mp3 ) ) { delete html5types.mp3; } #> <span class="setting"> <label for="audio-details-mp3-source" class="name">MP3</label> <input type="text" id="audio-details-mp3-source" readonly data-setting="mp3" value="{{ data.model.mp3 }}" /> <button type="button" class="button-link remove-setting">Remove audio source</button> </span> <# } #> <# if ( ! _.isEmpty( data.model.ogg ) ) { if ( ! _.isUndefined( html5types.ogg ) ) { delete html5types.ogg; } #> <span class="setting"> <label for="audio-details-ogg-source" class="name">OGG</label> <input type="text" id="audio-details-ogg-source" readonly data-setting="ogg" value="{{ data.model.ogg }}" /> <button type="button" class="button-link remove-setting">Remove audio source</button> </span> <# } #> <# if ( ! _.isEmpty( data.model.flac ) ) { if ( ! _.isUndefined( html5types.flac ) ) { delete html5types.flac; } #> <span class="setting"> <label for="audio-details-flac-source" class="name">FLAC</label> <input type="text" id="audio-details-flac-source" readonly data-setting="flac" value="{{ data.model.flac }}" /> <button type="button" class="button-link remove-setting">Remove audio source</button> </span> <# } #> <# if ( ! _.isEmpty( data.model.m4a ) ) { if ( ! _.isUndefined( html5types.m4a ) ) { delete html5types.m4a; } #> <span class="setting"> <label for="audio-details-m4a-source" class="name">M4A</label> <input type="text" id="audio-details-m4a-source" readonly data-setting="m4a" value="{{ data.model.m4a }}" /> <button type="button" class="button-link remove-setting">Remove audio source</button> </span> <# } #> <# if ( ! _.isEmpty( data.model.wav ) ) { if ( ! _.isUndefined( html5types.wav ) ) { delete html5types.wav; } #> <span class="setting"> <label for="audio-details-wav-source" class="name">WAV</label> <input type="text" id="audio-details-wav-source" readonly data-setting="wav" value="{{ data.model.wav }}" /> <button type="button" class="button-link remove-setting">Remove audio source</button> </span> <# } #> <# if ( ! 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