Robotics & Machine Learning Daily News2024,Issue(Feb.14) :57-58.DOI:10.1108/IR-11-2023-0284

Recent Findings in Robotics Described by Researchers from Fuzhou University (A Kmp-based Interactive Learning Approach for Robot Trajectory Adaptation With Obstacle Avoidance)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :57-58.DOI:10.1108/IR-11-2023-0284

Recent Findings in Robotics Described by Researchers from Fuzhou University (A Kmp-based Interactive Learning Approach for Robot Trajectory Adaptation With Obstacle Avoidance)

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Abstract

New research on Robotics is the subject of a report. According to news reporting originating from Fuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “PurposeImitation learning is a powerful tool for planning the trajectory of robotic end-effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; however, the solutions may not always satisfy users, whereas it is hard for a nonexpert user to teach the robot to avoid obstacles in time as he/she wishes through demonstrations.”

Key words

Fuzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Fuzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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