首页|Researchers from University of Ghent Report Details of New Studies and Findings in the Area of Robotics (Redundancy-aware Action Spaces for Robot Learning)
Researchers from University of Ghent Report Details of New Studies and Findings in the Area of Robotics (Redundancy-aware Action Spaces for Robot Learning)
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 – Data detailed on Robotics have been pr esented. According to news originating fromGhent, Belgium, by NewsRx correspond ents, research stated, “Joint space and task space control are thetwo dominant action modes for controlling robot arms within the robot learning literature. Ac tions in jointspace provide precise control over the robot’s pose, but tend to suffer from inefficient training; actions intask space boast data-efficient tra ining but sacrifice the ability to perform tasks in confined spaces due tolimit ed control over the full joint configuration.”
GhentBelgiumEuropeEmerging Technol ogiesMachine LearningRobotRoboticsUniversity of Ghent
NETL
NSTL
