首页|Research Data from Institute of Robotics and Mechatronics Update Understanding o f Robotics (Hierarchical Incremental Mpc for Redundant Robots: a Robust and Sing ularity-free Approach)
Research Data from Institute of Robotics and Mechatronics Update Understanding o f Robotics (Hierarchical Incremental Mpc for Redundant Robots: a Robust and Sing ularity-free Approach)
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 – A new study on Robotics is now availab le. According to news originating from Wessling,Germany, by NewsRx corresponden ts, research stated, “This article presents a model predictive control(MPC) met hod for redundant robots controlling multiple hierarchical tasks formulated as m ultilayerconstrained optimal control problems (OCPs). The proposed method, name d hierarchical incrementalMPC (HIMPC), is robust to dynamic uncertainties, unte thered from kinematic/algorithmic singularities,and capable of handling input a nd state constraints such as joint torque and position limits.”
WesslingGermanyEuropeEmerging Tech nologiesMachine LearningNano-robotRoboticsInstitute of Robotics and Mech atronics
NETL
NSTL
