首页|New Findings in Robotics Described from Tsinghua University (Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots)
New Findings in Robotics Described from Tsinghua University (Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Autonomousterrain traversal of articulated tracked robots can reduce operator cognitive load to enhance taskefficiency and facilitate extensive deployment. We present a novel hybrid trajectory optimization methodaimed at generating efficient, stable, and smooth traversal motions.”
ShenzhenPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsTsinghua University