Robotics & Machine Learning Daily News2024,Issue(MAY.3) :109-110.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.3) :109-110.

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)

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Abstract

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.”

Key words

Wessling/Germany/Europe/Emerging Tech nologies/Machine Learning/Nano-robot/Robotics/Institute of Robotics and Mech atronics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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