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)

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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

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.29)