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Humans in the Loop Help Robots Find Their Way - Tech Briefs
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crossorigin="anonymous" referrerpolicy="no-referrer"/> <meta charset="utf-8"> <meta name="pubdate" content="20220804"> <meta name="keywords" content="Robotics, Automation & Control,Automation,Robotics,AR/AI,Artificial Intelligence,Predictive Models and Predictive Analytics,Imaging,Machine Vision,Motion Control,Positioning Equipment,Collaborative Robots and Cobots,Software,"> <meta name="robots" content="index, follow"> <meta name="author" content="SAE Media Group"> <meta value="twitter:site" content="@TechBriefsMag"> <meta property="og:description" content=" The task set for this Fetch robot by Rice University computer scientists is made easier by their BLIND software, which allows for human intervention when the robot’s path is blocked by an obstacle. Keeping a human in the loop augments robot perception and prevents the execution of unsafe motion, according to the researchers. (Image: Kavraki Lab) Just like us, robots can’t see through walls. Sometimes they need a little help to get where they’re going. Engineers at Rice University have developed a method that allows humans to help robots “see” their environments and carry out tasks."> <meta property="og:image" content="http://res.cloudinary.com/tbmg/ar_16:9,c_thumb,g_auto:subject,f_auto,q_auto/c_limit,w_400/v1659555782/sites/tb/features-16x9/46334/20220804_robotics_automations_story1_primary-feature-item.jpg"> <meta property="og:image:secure_url" content="https://res.cloudinary.com/tbmg/ar_16:9,c_thumb,g_auto:subject,f_auto,q_auto/c_limit,w_400/v1659555782/sites/tb/features-16x9/46334/20220804_robotics_automations_story1_primary-feature-item.jpg"> <meta property="og:url" content="https://www.techbriefs.com/component/content/article/46334-humans-in-the-loop-help-robots-find-their-way"> <meta property="og:title" content="Humans in the Loop Help Robots Find Their Way"> <meta property="og:type" content="article"> <meta property="og:locale" content="en_US"> <meta property="og:updated_time" content="2022-08-03 19:37:55"> <meta property="article:modified_time" content="2022-08-03 19:37:55"> <meta property="article:publisher" content="SAE Media Group"> <meta name="description" content=" The task set for this Fetch robot by Rice University computer scientists is made easier by their BLIND software, which allows for human intervention when the robot’s path is blocked by an obstacle. Keeping a human in the loop augments robot perception and prevents the execution of unsafe motion, according to the researchers. (Image: Kavraki Lab) Just like us, robots can’t see through walls. Sometimes they need a little help to get where they’re going. Engineers at Rice University have developed a method that allows humans to help robots “see” their environments and carry out tasks."> <title>Humans in the Loop Help Robots Find Their Way - Tech Briefs</title> <link href="https://www.techbriefs.com/component/content/article/46334-humans-in-the-loop-help-robots-find-their-way" rel="canonical"> <style> /*! inlined from /media/plg_content_ntb_tagsbot/css/template.min.css by ntb_minifier */ .ntb_tagsbot .taglist { font-style: italic; margin-top: 10px } .ntb_tagsbot .tagmenus { background: #FFE; border: 1px dashed #DDD; padding: 10px; margin-bottom: 10px } .ntb_tagsbot .clusterlist { font-style: italic; margin-bottom: 10px; } .ntb_cluster_div { display: none; } .tagmenus div:first-of-type { font-style: italic; margin-bottom: 10px; } /* end /media/plg_content_ntb_tagsbot/css/template.min.css */ </style> <link href="/plugins/content/jw_disqus/jw_disqus/tmpl/css/template.min.css?v=3.7.0" rel="stylesheet" /> <style>/** * Critical CSS created by 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var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color)}.nav-fill .nav-item{flex:1 1 auto;text-align:center}.nav-fill .nav-item .nav-link{width:100%}.navbar{--bs-navbar-padding-x:0;--bs-navbar-padding-y:0.5rem;--bs-navbar-color:rgba(0, 0, 0, 0.55);--bs-navbar-hover-color:rgba(0, 0, 0, 0.7);--bs-navbar-disabled-color:rgba(0, 0, 0, 0.3);--bs-navbar-active-color:rgba(0, 0, 0, 0.9);--bs-navbar-brand-padding-y:0.25rem;--bs-navbar-brand-margin-end:1rem;--bs-navbar-brand-font-size:1.25rem;--bs-navbar-brand-color:rgba(0, 0, 0, 0.9);--bs-navbar-brand-hover-color:rgba(0, 0, 0, 0.9);--bs-navbar-nav-link-padding-x:0.5rem;--bs-navbar-toggler-padding-y:0.25rem;--bs-navbar-toggler-padding-x:0.75rem;--bs-navbar-toggler-font-size:1.25rem;--bs-navbar-toggler-icon-bg:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%280, 0, 0, 0.55%29' stroke-linecap='round' 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0.25);--bs-navbar-active-color:#ffffff;--bs-navbar-brand-color:#ffffff;--bs-navbar-brand-hover-color:#ffffff;--bs-navbar-toggler-border-color:transparent;--bs-navbar-toggler-icon-bg:none}.card{--bs-card-spacer-y:1rem;--bs-card-spacer-x:1rem;--bs-card-title-spacer-y:0.5rem;--bs-card-border-width:1px;--bs-card-border-color:var(--bs-border-color-translucent);--bs-card-border-radius:0.375rem;--bs-card-inner-border-radius:calc(0.375rem - 1px);--bs-card-cap-padding-y:0.5rem;--bs-card-cap-padding-x:1rem;--bs-card-cap-bg:rgba(0, 0, 0, 0.03);--bs-card-bg:#f8f9fa;--bs-card-img-overlay-padding:1rem;--bs-card-group-margin:0.75rem;position:relative;display:flex;flex-direction:column;min-width:0;height:var(--bs-card-height);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius);box-shadow:var(--bs-card-box-shadow)}.card-body{flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.breadcrumb{display:flex;list-style:none;--bs-breadcrumb-padding-x:0;--bs-breadcrumb-padding-y:0.5rem;--bs-breadcrumb-margin-bottom:0;--bs-breadcrumb-font-size:0.75rem;--bs-breadcrumb-bg:transparent;--bs-breadcrumb-divider-color:#6c757d;--bs-breadcrumb-item-padding-x:0.5rem;--bs-breadcrumb-item-active-color:#6c757d;flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "|")}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.alert{--bs-alert-bg:transparent;--bs-alert-padding-x:1rem;--bs-alert-padding-y:1rem;--bs-alert-margin-bottom:1rem;--bs-alert-color:inherit;--bs-alert-border-color:transparent;--bs-alert-border:1px solid var(--bs-alert-border-color);--bs-alert-border-radius:0.375rem;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary,.alert-secondary{background-image:var(--bs-gradient)}.alert-primary{--bs-alert-color:rgb(30, 44.4, 91.2);--bs-alert-bg:rgb(214, 218.8, 234.4);--bs-alert-border-color:rgb(193.5, 200.7, 224.1)}.alert-primary .alert-link{color:#182449}.alert-secondary{--bs-alert-color:rgb(64.8, 70.2, 75);--bs-alert-bg:rgb(225.6, 227.4, 229);--bs-alert-border-color:rgb(210.9, 213.6, 216)}.alert-secondary .alert-link{color:#34383c}.alert-native,.alert-success,.alert-validation{--bs-alert-color:rgb(15, 81, 50.4);--bs-alert-bg:rgb(209, 231, 220.8);--bs-alert-border-color:rgb(186, 219, 203.7);background-image:var(--bs-gradient)}.alert-native .alert-link,.alert-success .alert-link,.alert-validation .alert-link{color:#0c4128}.alert-info,.alert-warning{background-image:var(--bs-gradient)}.alert-info{--bs-alert-color:rgb(5.2, 80.8, 96);--bs-alert-bg:rgb(206.6, 244.4, 252);--bs-alert-border-color:rgb(182.4, 239.1, 250.5)}.alert-info .alert-link{color:#04414d}.alert-warning{--bs-alert-color:rgb(102, 77.2, 2.8);--bs-alert-bg:rgb(255, 242.6, 205.4);--bs-alert-border-color:rgb(255, 236.4, 180.6)}.alert-warning 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.alert-link,.alert-notice .alert-link{color:#04414d}.alert-color-blue,.alert-criticalcss{--bs-alert-color:rgb(7.8, 66, 151.8);--bs-alert-bg:rgb(206.6, 226, 254.6);--bs-alert-border-color:rgb(182.4, 211.5, 254.4);background-image:var(--bs-gradient)}.alert-color-blue .alert-link,.alert-criticalcss .alert-link{color:#063579}.alert-cache,.alert-color-orange{--bs-alert-color:rgb(151.8, 75.6, 12);--bs-alert-bg:rgb(254.6, 229.2, 208);--bs-alert-border-color:rgb(254.4, 216.3, 184.5);background-image:var(--bs-gradient)}.alert-cache .alert-link,.alert-color-orange .alert-link{color:#793c0a}.alert-color-red{--bs-alert-color:rgb(132, 31.8, 41.4);--bs-alert-bg:rgb(248, 214.6, 217.8);--bs-alert-border-color:rgb(244.5, 194.4, 199.2);background-image:var(--bs-gradient)}.alert-color-red .alert-link{color:#6a1921}.alert-cdnjs,.alert-color-yellow{--bs-alert-color:rgb(102, 77.2, 2.8);--bs-alert-bg:rgb(255, 242.6, 205.4);--bs-alert-border-color:rgb(255, 236.4, 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0.125);--bs-list-group-border-width:1px;--bs-list-group-border-radius:0.375rem;--bs-list-group-item-padding-x:1rem;--bs-list-group-item-padding-y:0.5rem;--bs-list-group-action-color:#495057;--bs-list-group-action-hover-color:#495057;--bs-list-group-action-hover-bg:#f8f9fa;--bs-list-group-action-active-color:#212529;--bs-list-group-action-active-bg:#e9ecef;--bs-list-group-disabled-color:#6c757d;--bs-list-group-disabled-bg:#ffffff;--bs-list-group-active-color:#ffffff;--bs-list-group-active-bg:#324a98;--bs-list-group-active-border-color:#324a98;display:flex;flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item+.list-group-item{border-top-width:0}.btn-close{box-sizing:content-box;width:1em;height:1em;padding:.25em;color:#000;background:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e") center/1em auto 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0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width:300px}}.offcanvas{--bs-offcanvas-zindex:1045;--bs-offcanvas-width:400px;--bs-offcanvas-height:30vh;--bs-offcanvas-padding-x:1rem;--bs-offcanvas-padding-y:1rem;--bs-offcanvas-bg:#ffffff;--bs-offcanvas-border-width:1px;--bs-offcanvas-border-color:var(--bs-border-color-translucent);--bs-offcanvas-box-shadow:0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;box-shadow:var(--bs-offcanvas-box-shadow)}.offcanvas.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid 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<section id="mainstory" class="left-column col-lg-8 col-md-7 col-12"> <div><article class="item-page" itemscope itemtype="https://schema.org/Article"> <meta itemprop="inLanguage" content="en-GB"/> <div class="row"> <div class="article-title col-12 mb-2"><h6 class="overline"> <time datetime="2022-08-04T01:00:50-04:00" itemprop="dateCreated"> August 4, 2022</time> <span class="mx-2">|</span> <a href="/tb/topic/motion-control-automation/robotics-automation-control">Robotics, Automation & Control</a> <span class="mx-2">|</span> <a href="/component/ntb_tags/topic/ar_ai/*/tb/*">AR/​AI</a> <span class="mx-2">|</span> <a href="/tb/topic/photonics-imaging/imaging">Imaging</a> <span class="mx-2">|</span> <a href="/tb/topic/motion-control-automation/motion-control">Motion Control</a> <span class="mx-2">|</span> <a href="/tb/topic/electronics-software/software">Software</a></h6> <time datetime="2022-08-03T15:37:55-04:00" itemprop="dateModified"> </time> <meta itemprop="keywords" content="Robotics, Automation & Control,Imaging,Motion Control,Software"><h1 itemprop="headline">Humans in the Loop Help Robots Find Their Way</h1></div></div> <div class="row" itemprop="articleBody"><aside class="article-social text-center col-md-1 col-12"> <ul class="list-group list-group-horizontal-down-md"> <li class="d-block list-group-item border-0"> <a href="https://www.shareaholic.com/api/share/?apikey=65befd2e10310fbce11aee6ee90bf582&apitype=1&v=1&service=facebook&link=https://www.techbriefs.com/component/content/article/46334-humans-in-the-loop-help-robots-find-their-way?r=28576&title=Humans+in+the+Loop+Help+Robots+Find+Their+Way" rel="nofollow" target="_blank"><i class="fa-brands fa-facebook fa-lg"></i></a></li> <li class="d-block list-group-item border-0"> <a 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</aside><div class="article-body col-md-11 col-12"><p class="tb-byline" itemprop="author" itemscope itemtype="https://schema.org/Person"> <span itemprop="name">Robotics & Automation INSIDER </span></p><a id="startOfPage"></a> <figure><img src='data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZlcnNpb249IjEuMSIgd2lkdGg9IjEwMjQiIGhlaWdodD0iNzM3Ij48cmVjdCB4PSIwIiB5PSIwIiB3aWR0aD0iMTAyNCIgaGVpZ2h0PSI3MzciIGZpbGw9IiM5MTgzNzIiIC8+PGcgdHJhbnNmb3JtPSJzY2FsZSg2LjgyKSB0cmFuc2xhdGUoMC41IDAuNSkiPjxnIHRyYW5zZm9ybT0idHJhbnNsYXRlKDEyNi4zMiA5NS42OSkgcm90YXRlKDI2Ni4xNCkgc2NhbGUoMjQuMDkgMTExLjI1KSI+PGVsbGlwc2UgZmlsbD0iIzM0MGMwMCIgZmlsbC1vcGFjaXR5PSIwLjUwIiBjeD0iMCIgY3k9IjAiIHJ4PSIxIiByeT0iMSIgLz48L2c+PGcgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoNjYuMTAgMTcuMjUpIHJvdGF0ZSgxNDEuMDQpIHNjYWxlKDgxLjgzIDU3LjUwKSI+PGVsbGlwc2UgZmlsbD0iI2M2YzRiNSIgZmlsbC1vcGFjaXR5PSIwLjUwIiBjeD0iMCIgY3k9IjAiIHJ4PSIxIiByeT0iMSIgLz48L2c+PGcgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoMTQ0LjA5IDQ3LjE2KSByb3RhdGUoMjY4LjY4KSBzY2FsZSgxMTcuNTggNy43MykiPjxlbGxpcHNlIGZpbGw9IiMwMDAwMDAiIGZpbGwtb3BhY2l0eT0iMC41MCIgY3g9IjAiIGN5PSIwIiByeD0iMSIgcnk9IjEiIC8+PC9nPjxnIHRyYW5zZm9ybT0idHJhbnNsYXRlKDMzLjA1IDEzLjgyKSByb3RhdGUoMTcyLjQ3KSBzY2FsZSgxOC42NiA1LjgwKSI+PGVsbGlwc2UgZmlsbD0iIzAwMDAwMCIgZmlsbC1vcGFjaXR5PSIwLjUwIiBjeD0iMCIgY3k9IjAiIHJ4PSIxIiByeT0iMSIgLz48L2c+PGVsbGlwc2UgZmlsbD0iI2RmZDhjOCIgZmlsbC1vcGFjaXR5PSIwLjUwIiBjeD0iMCIgY3k9IjMzIiByeD0iMTYiIHJ5PSIxMDciIC8+PGcgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoMjcuMzQgOTAuODUpIHJvdGF0ZSgxNzIuNzkpIHNjYWxlKDEyLjE4IDExLjc4KSI+PGVsbGlwc2UgZmlsbD0iIzAwMDMyZCIgZmlsbC1vcGFjaXR5PSIwLjUwIiBjeD0iMCIgY3k9IjAiIHJ4PSIxIiByeT0iMSIgLz48L2c+PGcgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoNDMgNDQpIHJvdGF0ZSgxMzQpIHNjYWxlKDMxIDgpIj48cmVjdCBmaWxsPSIjMWYxYzEyIiBmaWxsLW9wYWNpdHk9IjAuNTAiIHg9Ii0wLjUiIHk9Ii0wLjUiIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIC8+PC9nPjxwb2x5Z29uIGZpbGw9IiNiYTk2NzciIGZpbGwtb3BhY2l0eT0iMC41MCIgcG9pbnRzPSIxMjAsODkgMTU1LDQ4IDEwMCwzMCIgLz48cmVjdCBmaWxsPSIjMDAwMDAwIiBmaWxsLW9wYWNpdHk9IjAuNTAiIHg9IjEzNyIgeT0iMCIgd2lkdGg9IjEzIiBoZWlnaHQ9IjQyIiAvPjxnIHRyYW5zZm9ybT0idHJhbnNsYXRlKDYwLjE5IDYwLjMxKSByb3RhdGUoMzE4LjQyKSBzY2FsZSgyOC4wNyAyMS43NCkiPjxlbGxpcHNlIGZpbGw9IiNjZWM3YjUiIGZpbGwtb3BhY2l0eT0iMC41MCIgY3g9IjAiIGN5PSIwIiByeD0iMSIgcnk9IjEiIC8+PC9nPjxnIHRyYW5zZm9ybT0idHJhbnNsYXRlKDg3Ljk5IDM5LjQ5KSByb3RhdGUoNDQwLjU2KSBzY2FsZSg5LjY1IDQuNjEpIj48ZWxsaXBzZSBmaWxsPSIjMzEzMTJjIiBmaWxsLW9wYWNpdHk9IjAuNTAiIGN4PSIwIiBjeT0iMCIgcng9IjEiIHJ5PSIxIiAvPjwvZz48cG9seWdvbiBmaWxsPSIjMjUyMTFhIiBmaWxsLW9wYWNpdHk9IjAuNTAiIHBvaW50cz0iNDYuODEsNi40MSwyOS43MSwzMy40MCwyMC40MSwxNi40NSwzMS4wMyw3LjEyIiAvPjxnIHRyYW5zZm9ybT0idHJhbnNsYXRlKDk2LjU2IDg3LjgxKSByb3RhdGUoMTMzLjEwKSBzY2FsZSgyMS4zNyAxOS40NSkiPjxlbGxpcHNlIGZpbGw9IiM2YjQ1MWMiIGZpbGwtb3BhY2l0eT0iMC41MCIgY3g9IjAiIGN5PSIwIiByeD0iMSIgcnk9IjEiIC8+PC9nPjxwb2x5Z29uIGZpbGw9IiNjYmM1YjgiIGZpbGwtb3BhY2l0eT0iMC41MCIgcG9pbnRzPSIzMy4wOSwzMi40MCw0OC4zOCwxNC44OCw1Ni44MywtMTYuMDAsOTkuMjIsMjQuNzYiIC8+PHBvbHlnb24gZmlsbD0iIzRjMjYwMyIgZmlsbC1vcGFjaXR5PSIwLjUwIiBwb2ludHM9IjE0Myw1MiAxMjEsMTAzIDE1MywxMDkiIC8+PHBvbHlnb24gZmlsbD0iIzAwMDAxMiIgZmlsbC1vcGFjaXR5PSIwLjUwIiBwb2ludHM9IjE0LDg1IDM0LDgwIDM2LDk2IiAvPjxwb2x5Z29uIGZpbGw9IiNmMWVhZDMiIGZpbGwtb3BhY2l0eT0iMC41MCIgcG9pbnRzPSIxMTYsNTkgOTcsNTYgNzgsNjkiIC8+PGVsbGlwc2UgZmlsbD0iIzAwMDAwMCIgZmlsbC1vcGFjaXR5PSIwLjUwIiBjeD0iODYiIGN5PSIzMyIgcng9IjQiIHJ5PSI0IiAvPjxyZWN0IGZpbGw9IiM2MjU4NDEiIGZpbGwtb3BhY2l0eT0iMC41MCIgeD0iMzMiIHk9IjM3IiB3aWR0aD0iMTAiIGhlaWdodD0iMjQiIC8+PGcgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoMzkgMCkgcm90YXRlKDkxKSBzY2FsZSgxNCAxMDUpIj48cmVjdCBmaWxsPSIjZDdjZGMwIiBmaWxsLW9wYWNpdHk9IjAuNTAiIHg9Ii0wLjUiIHk9Ii0wLjUiIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIC8+PC9nPjxyZWN0IGZpbGw9IiMwMjAzMDEiIGZpbGwtb3BhY2l0eT0iMC41MCIgeD0iNDYiIHk9IjMxIiB3aWR0aD0iNiIgaGVpZ2h0PSIxMiIgLz48ZWxsaXBzZSBmaWxsPSIjOWY5NTdjIiBmaWxsLW9wYWNpdHk9IjAuNTAiIGN4PSIyMyIgY3k9IjU0IiByeD0iMTEiIHJ5PSIyOSIgLz48cG9seWdvbiBmaWxsPSIjYzZjNWJlIiBmaWxsLW9wYWNpdHk9IjAuNTAiIHBvaW50cz0iMTkuMjcsMTAyLjk4LDEyLjc1LDEyMy4wMCwxNS41NCw3Mi44NiwtMTUuODQsNzEuNDEiIC8+PHJlY3QgZmlsbD0iI2FmOWE4OSIgZmlsbC1vcGFjaXR5PSIwLjUwIiB4PSIxMTgiIHk9IjAiIHdpZHRoPSIxNyIgaGVpZ2h0PSI3NyIgLz48cG9seWdvbiBmaWxsPSIjYmUzZTM0IiBmaWxsLW9wYWNpdHk9IjAuNTAiIHBvaW50cz0iMTQ2LjM4LDU3LjgzLDEzOS4yMyw1Mi40NywxMTQuNjAsNDguNzksMTA5Ljk3LDU0LjY0IiAvPjwvZz48L3N2Zz4=' data-src='https://res.cloudinary.com/tbmg/c_scale,w_auto,f_auto,q_auto/v1659555715/sites/tb/articles/2022/insider/20220804_Robotics_Automations_Story1.jpg' class=' w-100 cld-responsive' alt='' alt="Augments robot perception Image" /> <figcaption>The task set for this Fetch robot by Rice University computer scientists is made easier by their BLIND software, which allows for human intervention when the robot’s path is blocked by an obstacle. Keeping a human in the loop augments robot perception and prevents the execution of unsafe motion, according to the researchers. (Image: Kavraki Lab)</figcaption></figure> <p>Just like us, robots can’t see through walls. Sometimes they need a little help to get where they’re going. Engineers at Rice University have developed a method that allows humans to help robots “see” their environments and carry out tasks.</p> <p>The strategy called Bayesian Learning IN the Dark — BLIND, for short — is a novel solution to the long-standing problem of motion planning for robots that work in environments where not everything is clearly visible all the time.</p> <p>The algorithm keeps a human in the loop to “augment robot perception and, importantly, prevent the execution of unsafe motion,” according to the study.</p> <p>The researchers combined Bayesian inverse reinforcement learning (by which a system learns from continually updated information and experience) with established motion planning techniques to assist robots that have “high degrees of freedom” — that is, a lot of moving parts.</p> <p>To test BLIND, the Rice lab directed a Fetch robot, an articulated arm with seven joints, to grab a small cylinder from a table and move it to another, but in doing so it had to move past a barrier.</p> <p>“If you have more joints, instructions to the robot are complicated,” said co-lead author of the paper Quintero-Peña. “If you’re directing a human, you can just say, ‘Lift up your hand.’” But a robot’s programmers have to be specific about the movement of each joint at each point in its trajectory, especially when obstacles block the machine’s “view” of its target.</p><div class="ad-position g-0 row mb-3 "> <div class="col-12 align-content-center mx-auto"> <script tb-donotmove>window.ntb_google_ad_manager_items=window.ntb_google_ad_manager_items||[];ntb_google_ad_manager_items.push({display_sizes:['xs','sm'],slot_ad_unit:'techbriefs.com_450x450_300x300',slot_code:'21835072403',slot:'/21835072403/techbriefs.com_450x450_300x300',slot_ad_sizes:['fluid',[450,450],[300,300]],div_id:'GAM_pos_22_modid_365',target_pos:'22',size_mapping:[],slot_ad_empty:'default'});</script> <div id='GAM_pos_22_modid_365' class=""></div></div></div><p>Rather than programming a trajectory up front, BLIND inserts a human mid-process to refine the choreographed options — or best guesses — suggested by the robot’s algorithm. “BLIND allows us to take information in the human's head and compute our trajectories in this high-degree-of-freedom space,” Quintero-Peña said. “We use a specific method of feedback called critique, basically a binary form of feedback where the human is given labels on pieces of the trajectory.”</p> <p>These labels appear as connected green dots that represent possible paths. As BLIND steps from dot to dot, the human approves or rejects each movement to refine the path, avoiding obstacles as efficiently as possible.</p> <p>“It’s an easy interface for people to use, because we can say, ‘I like this’ or ‘I don’t like that,’ and the robot uses this information to plan, ” said the other co-lead author, Constantinos Chamzas. “Once rewarded with an approved set of movements, the robot can carry out its task.”</p> <p>“One of the most important things here is that human preferences are hard to describe with a mathematical formula,” Quintero-Peña said. “Our work simplifies human-robot relationships by incorporating human preferences. That’s how I think applications will get the most benefit from this work.”</p> <p>“This work wonderfully exemplifies how a little, but targeted, human intervention can significantly enhance the capabilities of robots to execute complex tasks in environments where some parts are completely unknown to the robot but known to the human,” said Lydia Kavraki, a robotics pioneer whose resume includes advanced programming for NASA’s humanoid Robonaut aboard the International Space Station.</p> <p> <a href="https://news.rice.edu/news/2022/humans-loop-help-robots-find-their-way" target="_blank" rel="noopener noreferrer">Source <i class="fad fa-external-link fa-sm"></i></a></p> <hr> <div class="ntb_tagsbot"> <div class="taglist"> <strong class="sans-serif text-small">Topics:</strong><br> <a class="badge bg-primary link-white fw-light sans-serif text-small fst-normal" href="/component/ntb_tags/topic/ar_ai/ar_ai/tb/*?start=0"> <i class="fa-duotone fa-head-side-goggles"></i> AR/AI</a> <a class="badge bg-primary link-white fw-light sans-serif text-small fst-normal" href="/component/ntb_tags/topic/ar_ai/artificial_intelligence/tb/*?start=0"> <i class="fa-duotone fa-head-side-goggles"></i> Artificial Intelligence</a> <a class="badge bg-primary link-white fw-light sans-serif text-small fst-normal" href="/component/ntb_tags/topic/robotics_automation_control/automation/tb/*?start=0"> <i class="fa-duotone fa-conveyor-belt-boxes"></i> Automation</a> <a class="badge bg-primary link-white fw-light sans-serif text-small fst-normal" href="/component/ntb_tags/topic/robotics_automation_control/collaborative_robots_cobots/tb/*?start=0"> <i class="fa-duotone fa-conveyor-belt-boxes"></i> Collaborative Robots and Cobots</a> <a class="badge bg-primary link-white fw-light sans-serif text-small fst-normal" href="/component/ntb_tags/topic/imaging/machine_vision/tb/*?start=0"> <i class="fa-duotone fa-film"></i> Machine Vision</a> <a class="badge bg-primary link-white fw-light sans-serif 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