首页|Study Findings from Chinese Academy of Sciences Broaden Understandingof Robotic s (A Graph Robot Network for Force Observer of Teleoperation Systems)
Study Findings from Chinese Academy of Sciences Broaden Understandingof Robotic s (A Graph Robot Network for Force Observer of Teleoperation Systems)
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 – Current study results on Robotics have been published. According to news reportingoriginating in Beijing, People’s Re public of China, by NewsRx journalists, research stated, “Force informationis c rucial to teleoperation systems, which allows experts to perform tasks safely an d reducespotential risks. However, due to the limitations of robot size and wor king environment, it is difficult toobtain contact force information through tr aditional force sensors.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsChinese Academy of Sciences