首页|Findings from University College London (UCL) Has Provided New Data on Robotics (Efficient Global Navigational Planning In 3-d Structures Based On Point Cloud T omography)
Findings from University College London (UCL) Has Provided New Data on Robotics (Efficient Global Navigational Planning In 3-d Structures Based On Point Cloud T omography)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating from London, United Kingdom, by NewsRx correspondents, research stated, "Navigation in complex 3-D scenarios req uires appropriate environment representation for efficient scene understanding a nd trajectory generation. We propose a highly efficient and extensible global na vigation framework based on a tomographic understanding of the environment to na vigate ground robots in multilayer structures." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from University College Lond on (UCL), "Our approach generates tomogram slices using the point cloud map to e ncode the geometric structure as ground and ceiling elevations. Then, it evaluat es the scene traversability considering the robot's motion capabilities. Both th e tomogram construction and the scene evaluation are accelerated through paralle l computation. Our approach further alleviates the trajectory generation complex ity compared with planning in 3-D spaces directly. It generates 3-D trajectories by searching through multiple tomogram slices and separately adjusts the robot height to avoid overhangs. We evaluate our framework in various simulation scena rios and further test it in the real world on a quadrupedal robot."
LondonUnited KingdomEuropeEmerging TechnologiesMachine LearningRobotRoboticsUniversity College London (UCL )
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