首页|Studies from Beijing Institute of Technology Yield New Information about Robotic s (Obstacle Detection and Obstacle-surmounting Planning for a Wheel-legged Robot Based On Lidar)
Studies from Beijing Institute of Technology Yield New Information about Robotic s (Obstacle Detection and Obstacle-surmounting Planning for a Wheel-legged Robot Based On Lidar)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on Robotics have been presented. Ac cording to news reporting out of Beijing, People's Republic of China, by NewsRx editors, research stated, "PurposeThis paper aims to investigate an autonomous o bstacle-surmounting method based on a hybrid gait for the problem of crossing lo w-height obstacles autonomously by a six wheel-legged robot. The autonomy of obs tacle-surmounting is reflected in obstacle recognition based on multi-frame poin t cloud http://fusion.Design/methodology/approachIn this paper, first, for the problem that the lidar on the robot cannot scan the point cloud of low-height obstacles, the lidar is driven to rotate by a 2D turnt able to obtain the point cloud of low-height obstacles under the robot." Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China (NSFC).
BeijingPeople's Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsBeijing Institute of Technology
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