首页|Data on Robotics Discussed by Researchers at University of Science and Technolog y Beijing (Adaptive Ec-gpr: a Hybrid Torque Prediction Model for Mobile Robots W ith Unknown Terrain Disturbances)
Data on Robotics Discussed by Researchers at University of Science and Technolog y Beijing (Adaptive Ec-gpr: a Hybrid Torque Prediction Model for Mobile Robots W ith Unknown Terrain Disturbances)
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 Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating from Beijing, People’s Republi c of China, by NewsRx correspondents, research stated, “The accurate prediction of driving torque demand is essential for the development of motion controllers for mobile robots on complex terrains. This paper aims to propose a hybrid model of torque prediction, adaptive EC-GPR, for mobile robots to address the problem of estimating the required driving torque with unknown terrain disturbances.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsUniversity of Science and Technology Beijing
NETL
NSTL
