首页|Recent Findings in Robotics Described by Researchers from Fuzhou University (A Kmp-based Interactive Learning Approach for Robot Trajectory Adaptation With Obstacle Avoidance)
Recent Findings in Robotics Described by Researchers from Fuzhou University (A Kmp-based Interactive Learning Approach for Robot Trajectory Adaptation With Obstacle Avoidance)
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
Emerald Group Publishing
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.”
FuzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsRobotsFuzhou University
NETL
NSTL
Emerald Group Publishing
