Robotics & Machine Learning Daily News2024,Issue(Apr.30) :42-42.

Sun Yat-sen University Reports Findings in Robotics (A reinforcement learning en hanced pseudo-inverse approach to self-collision avoidance of redundant robots)

Robotics & Machine Learning Daily News2024,Issue(Apr.30) :42-42.

Sun Yat-sen University Reports Findings in Robotics (A reinforcement learning en hanced pseudo-inverse approach to self-collision avoidance of redundant robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“Redundant robots offer greater flexibility compared to non-redundant ones but are susceptible to increasedcollision risks when the end-effector approaches the robot’s own links . Redundant degrees of freedom(DoFs) present an opportunity for collision avoid ance; however, selecting an appropriate inverse kinematics(IK) solution remains challenging due to the infinite possible solutions.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Risk and Prevention/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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