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<button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2405.02011">arXiv:2405.02011</a> <span> [<a href="https://arxiv.org/pdf/2405.02011">pdf</a>, <a href="https://arxiv.org/format/2405.02011">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> </div> <p class="title is-5 mathjax"> Autonomous Active Mapping in Steep Alpine Environments with Fixed-wing Aerial Vehicles </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Lim%2C+J">Jaeyoung Lim</a>, <a href="/search/cs?searchtype=author&query=Achermann%2C+F">Florian Achermann</a>, <a href="/search/cs?searchtype=author&query=Lawrance%2C+N">Nicholas Lawrance</a>, <a href="/search/cs?searchtype=author&query=Siegwart%2C+R">Roland Siegwart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2405.02011v1-abstract-short" style="display: inline;"> Monitoring large scale environments is a crucial task for managing remote alpine environments, especially for hazardous events such as avalanches. One key information for avalanche risk forecast is imagery of released avalanches. As these happen in remote and potentially dangerous locations this data is difficult to obtain. Fixed-wing vehicles, due to their long range and travel speeds are a promi… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.02011v1-abstract-full').style.display = 'inline'; document.getElementById('2405.02011v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2405.02011v1-abstract-full" style="display: none;"> Monitoring large scale environments is a crucial task for managing remote alpine environments, especially for hazardous events such as avalanches. One key information for avalanche risk forecast is imagery of released avalanches. As these happen in remote and potentially dangerous locations this data is difficult to obtain. Fixed-wing vehicles, due to their long range and travel speeds are a promising platform to gather aerial imagery to map avalanche activities. However, operating such vehicles in mountainous terrain remains a challenge due to the complex topography, regulations, and uncertain environment. In this work, we present a system that is capable of safely navigating and mapping an avalanche using a fixed-wing aerial system and discuss the challenges arising when executing such a mission. We show in our field experiments that we can effectively navigate in steep terrain environments while maximizing the map quality. We expect our work to enable more autonomous operations of fixed-wing vehicles in alpine environments to maximize the quality of the data gathered. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.02011v1-abstract-full').style.display = 'none'; document.getElementById('2405.02011v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 May, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">8 pages, 8 figures, Accepted to the IEEE ICRA Workshop on Field Robotics 2024</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2404.02077">arXiv:2404.02077</a> <span> [<a href="https://arxiv.org/pdf/2404.02077">pdf</a>, <a href="https://arxiv.org/format/2404.02077">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> </div> <p class="title is-5 mathjax"> Energy-Optimized Planning in Non-Uniform Wind Fields with Fixed-Wing Aerial Vehicles </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Duan%2C+Y">Yufei Duan</a>, <a href="/search/cs?searchtype=author&query=Achermann%2C+F">Florian Achermann</a>, <a href="/search/cs?searchtype=author&query=Lim%2C+J">Jaeyoung Lim</a>, <a href="/search/cs?searchtype=author&query=Siegwart%2C+R">Roland Siegwart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2404.02077v2-abstract-short" style="display: inline;"> Fixed-wing small uncrewed aerial vehicles (sUAVs) possess the capability to remain airborne for extended durations and traverse vast distances. However, their operation is susceptible to wind conditions, particularly in regions of complex terrain where high wind speeds may push the aircraft beyond its operational limitations, potentially raising safety concerns. Moreover, wind impacts the energy r… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2404.02077v2-abstract-full').style.display = 'inline'; document.getElementById('2404.02077v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2404.02077v2-abstract-full" style="display: none;"> Fixed-wing small uncrewed aerial vehicles (sUAVs) possess the capability to remain airborne for extended durations and traverse vast distances. However, their operation is susceptible to wind conditions, particularly in regions of complex terrain where high wind speeds may push the aircraft beyond its operational limitations, potentially raising safety concerns. Moreover, wind impacts the energy required to follow a path, especially in locations where the wind direction and speed are not favorable. Incorporating wind information into mission planning is essential to ensure both safety and energy efficiency. In this paper, we propose a sampling-based planner using the kinematic Dubins aircraft paths with respect to the ground, to plan energy-efficient paths in non-uniform wind fields. We study the planner characteristics with synthetic and real-world wind data and compare its performance against baseline cost and path formulations. We demonstrate that the energy-optimized planner effectively utilizes updrafts to minimize energy consumption, albeit at the expense of increased travel time. The ground-relative path formulation facilitates the generation of safe trajectories onboard sUAVs within reasonable computational timeframes. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2404.02077v2-abstract-full').style.display = 'none'; document.getElementById('2404.02077v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 2 April, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">\c{opyright} 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2401.09944">arXiv:2401.09944</a> <span> [<a href="https://arxiv.org/pdf/2401.09944">pdf</a>, <a href="https://arxiv.org/format/2401.09944">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> </div> <p class="title is-5 mathjax"> WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Achermann%2C+F">Florian Achermann</a>, <a href="/search/cs?searchtype=author&query=Stastny%2C+T">Thomas Stastny</a>, <a href="/search/cs?searchtype=author&query=Danciu%2C+B">Bogdan Danciu</a>, <a href="/search/cs?searchtype=author&query=Kolobov%2C+A">Andrey Kolobov</a>, <a href="/search/cs?searchtype=author&query=Chung%2C+J+J">Jen Jen Chung</a>, <a href="/search/cs?searchtype=author&query=Siegwart%2C+R">Roland Siegwart</a>, <a href="/search/cs?searchtype=author&query=Lawrance%2C+N">Nicholas Lawrance</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2401.09944v1-abstract-short" style="display: inline;"> Real-time high-resolution wind predictions are beneficial for various applications including safe manned and unmanned aviation. Current weather models require too much compute and lack the necessary predictive capabilities as they are valid only at the scale of multiple kilometers and hours - much lower spatial and temporal resolutions than these applications require. Our work, for the first time,… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2401.09944v1-abstract-full').style.display = 'inline'; document.getElementById('2401.09944v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2401.09944v1-abstract-full" style="display: none;"> Real-time high-resolution wind predictions are beneficial for various applications including safe manned and unmanned aviation. Current weather models require too much compute and lack the necessary predictive capabilities as they are valid only at the scale of multiple kilometers and hours - much lower spatial and temporal resolutions than these applications require. Our work, for the first time, demonstrates the ability to predict low-altitude wind in real-time on limited-compute devices, from only sparse measurement data. We train a neural network, WindSeer, using only synthetic data from computational fluid dynamics simulations and show that it can successfully predict real wind fields over terrain with known topography from just a few noisy and spatially clustered wind measurements. WindSeer can generate accurate predictions at different resolutions and domain sizes on previously unseen topography without retraining. We demonstrate that the model successfully predicts historical wind data collected by weather stations and wind measured onboard drones. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2401.09944v1-abstract-full').style.display = 'none'; document.getElementById('2401.09944v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 January, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2401.04831">arXiv:2401.04831</a> <span> [<a href="https://arxiv.org/pdf/2401.04831">pdf</a>, <a href="https://arxiv.org/format/2401.04831">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> </div> <p class="title is-5 mathjax"> Safe Low-Altitude Navigation in Steep Terrain with Fixed-Wing Aerial Vehicles </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Lim%2C+J">Jaeyoung Lim</a>, <a href="/search/cs?searchtype=author&query=Achermann%2C+F">Florian Achermann</a>, <a href="/search/cs?searchtype=author&query=Girod%2C+R">Rik Girod</a>, <a href="/search/cs?searchtype=author&query=Lawrance%2C+N">Nicholas Lawrance</a>, <a href="/search/cs?searchtype=author&query=Siegwart%2C+R">Roland Siegwart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2401.04831v2-abstract-short" style="display: inline;"> Fixed-wing aerial vehicles provide an efficient way to navigate long distances or cover large areas for environmental monitoring applications. By design, they also require large open spaces due to limited maneuverability. However, strict regulatory and safety altitude limits constrain the available space. Especially in complex, confined, or steep terrain, ensuring the vehicle does not enter an ine… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2401.04831v2-abstract-full').style.display = 'inline'; document.getElementById('2401.04831v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2401.04831v2-abstract-full" style="display: none;"> Fixed-wing aerial vehicles provide an efficient way to navigate long distances or cover large areas for environmental monitoring applications. By design, they also require large open spaces due to limited maneuverability. However, strict regulatory and safety altitude limits constrain the available space. Especially in complex, confined, or steep terrain, ensuring the vehicle does not enter an inevitable collision state(ICS) can be challenging. In this work, we propose a strategy to find safe paths that do not enter an ICS while navigating within tight altitude constraints. The method uses periodic paths to efficiently classify ICSs. A sampling-based planner creates collision-free and kinematically feasible paths that begin and end in safe periodic (circular) paths. We show that, in realistic terrain, using circular periodic paths can simplify the goal selection process by making it yaw agnostic and constraining yaw. We demonstrate our approach by dynamically planning safe paths in real-time while navigating steep terrain on a flight test in complex alpine terrain. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2401.04831v2-abstract-full').style.display = 'none'; document.getElementById('2401.04831v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 January, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Accepted to IEEE Robotics and Automation Letters (RA-L)</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2203.15145">arXiv:2203.15145</a> <span> [<a href="https://arxiv.org/pdf/2203.15145">pdf</a>, <a href="https://arxiv.org/format/2203.15145">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1109/RoboSoft51838.2021.9479192">10.1109/RoboSoft51838.2021.9479192 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> RoBoa: Construction and Evaluation of a Steerable Vine Robot for Search and Rescue Applications </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=der+Maur%2C+P+A">Pascal Auf der Maur</a>, <a href="/search/cs?searchtype=author&query=Djambazi%2C+B">Betim Djambazi</a>, <a href="/search/cs?searchtype=author&query=Haberth%C3%BCr%2C+Y">Yves Haberth眉r</a>, <a href="/search/cs?searchtype=author&query=H%C3%B6rmann%2C+P">Patricia H枚rmann</a>, <a href="/search/cs?searchtype=author&query=K%C3%BCbler%2C+A">Alexander K眉bler</a>, <a href="/search/cs?searchtype=author&query=Lustenberger%2C+M">Michael Lustenberger</a>, <a href="/search/cs?searchtype=author&query=Sigrist%2C+S">Samuel Sigrist</a>, <a href="/search/cs?searchtype=author&query=Vigen%2C+O">Oda Vigen</a>, <a href="/search/cs?searchtype=author&query=F%C3%B6rster%2C+J">Julian F枚rster</a>, <a href="/search/cs?searchtype=author&query=Achermann%2C+F">Florian Achermann</a>, <a href="/search/cs?searchtype=author&query=Hampp%2C+E">Elias Hampp</a>, <a href="/search/cs?searchtype=author&query=Katzschmann%2C+R+K">Robert K. Katzschmann</a>, <a href="/search/cs?searchtype=author&query=Siegwart%2C+R">Roland Siegwart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2203.15145v1-abstract-short" style="display: inline;"> RoBoa is a vine-like search and rescue robot that can explore narrow and cluttered environments such as destroyed buildings. The robot assists rescue teams in finding and communicating with trapped people. It employs the principle of vine robots for locomotion, everting the tip of its tube to move forward. Inside the tube, pneumatic actuators enable lateral movement. The head carries sensors and i… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2203.15145v1-abstract-full').style.display = 'inline'; document.getElementById('2203.15145v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2203.15145v1-abstract-full" style="display: none;"> RoBoa is a vine-like search and rescue robot that can explore narrow and cluttered environments such as destroyed buildings. The robot assists rescue teams in finding and communicating with trapped people. It employs the principle of vine robots for locomotion, everting the tip of its tube to move forward. Inside the tube, pneumatic actuators enable lateral movement. The head carries sensors and is mounted outside at the tip of the tube. At the back, a supply box contains the rolled up tube and provides pressurized air, power, computation, as well as an interface for the user to interact with the system. A decentralized control scheme was implemented that reduces the required number of cables and takes care of the low-level control of the pneumatic actuators. The design, characterization, and experimental evaluation of the system and its crucial components is shown. The complete prototype is fully functional and was evaluated in a realistic environment of a collapsed building where the remote-controlled robot was able to repeatedly locate a trapped person after a travel distance of about 10 m. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2203.15145v1-abstract-full').style.display = 'none'; document.getElementById('2203.15145v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 28 March, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">6 pages, 5 figures, 2021 IEEE 4th International Conference on Soft Robotics (RoboSoft). For associated video, see this https://www.youtube.com/watch?v=W6wlZ9kaUvo</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> 2021 IEEE 4th International Conference on Soft Robotics (RoboSoft) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1712.03608">arXiv:1712.03608</a> <span> [<a href="https://arxiv.org/pdf/1712.03608">pdf</a>, <a href="https://arxiv.org/format/1712.03608">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Oettershagen%2C+P">Philipp Oettershagen</a>, <a href="/search/cs?searchtype=author&query=Achermann%2C+F">Florian Achermann</a>, <a href="/search/cs?searchtype=author&query=M%C3%BCller%2C+B">Benjamin M眉ller</a>, <a href="/search/cs?searchtype=author&query=Schneider%2C+D">Daniel Schneider</a>, <a href="/search/cs?searchtype=author&query=Siegwart%2C+R">Roland Siegwart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1712.03608v1-abstract-short" style="display: inline;"> Today, low-altitude fixed-wing Unmanned Aerial Vehicles (UAVs) are largely limited to primitively follow user-defined waypoints. To allow fully-autonomous remote missions in complex environments, real-time environment-aware navigation is required both with respect to terrain and strong wind drafts. This paper presents two relevant initial contributions: First, the literature's first-ever 3D wind f… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1712.03608v1-abstract-full').style.display = 'inline'; document.getElementById('1712.03608v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1712.03608v1-abstract-full" style="display: none;"> Today, low-altitude fixed-wing Unmanned Aerial Vehicles (UAVs) are largely limited to primitively follow user-defined waypoints. To allow fully-autonomous remote missions in complex environments, real-time environment-aware navigation is required both with respect to terrain and strong wind drafts. This paper presents two relevant initial contributions: First, the literature's first-ever 3D wind field prediction method which can run in real time onboard a UAV is presented. The approach retrieves low-resolution global weather data, and uses potential flow theory to adjust the wind field such that terrain boundaries, mass conservation, and the atmospheric stratification are observed. A comparison with 1D LIDAR data shows an overall wind error reduction of 23% with respect to the zero-wind assumption that is mostly used for UAV path planning today. However, given that the vertical winds are not resolved accurately enough further research is required and identified. Second, a sampling-based path planner that considers the aircraft dynamics in non-uniform wind iteratively via Dubins airplane paths is presented. Performance optimizations, e.g. obstacle-aware sampling and fast 2.5D-map collision checks, render the planner 50% faster than the Open Motion Planning Library (OMPL) implementation. Test cases in Alpine terrain show that the wind-aware planning performs up to 50x less iterations than shortest-path planning and is thus slower in low winds, but that it tends to deliver lower-cost paths in stronger winds. More importantly, in contrast to the shortest-path planner, it always delivers collision-free paths. Overall, our initial research demonstrates the feasibility of 3D wind field prediction from a UAV and the advantages of wind-aware planning. This paves the way for follow-up research on fully-autonomous environment-aware navigation of UAVs in real-life missions and complex terrain. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1712.03608v1-abstract-full').style.display = 'none'; document.getElementById('1712.03608v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 10 December, 2017; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2017. </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>  </span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary">  <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> 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