Using neural networks to handle intractability problems and solve complex computation
equations is becoming common practices in academia and industry. It has been shown that …

Repetitive motion planning (RMP) is a crucial issue encountered in studies on redundant
robot manipulators. Numerous RMP schemes have been established in previous studies …

In this paper, a variable joint-velocity limits (VJVL)-constrained minimum-velocity-norm
(MVN) scheme (termed VJVL-constrained MVN scheme) is proposed and investigated for …

In this article, the repetitive motion control of redundant manipulators is investigated. First, a
repetitive motion control scheme is presented, and a continuous zeroing neural network …

Introduces a revolutionary, quadratic-programming based approach to solving long-standing
problems in motion planning and control of redundant manipulators This book describes a …

This paper studies the decentralized control of multiple redundant manipulators for the
cooperative task execution problem. Different from existing work with assumptions that all …

In this study, we investigate the problem of cooperative kinematic control for multiple
redundant manipulators under partially known information using recurrent neural network …

In order to resolve the redundancy of a wheeled mobile redundant manipulator comprising a
two-wheel-drive mobile platform and a 6-degree-of-freedom manipulator, a physical-limits …

In this paper, the inverse kinematics (IK) of redundant manipulators is presented and
studied, where the performance of end-effector path planning is guaranteed. A new …

A repetitive-motion-planning (RMP) scheme at the acceleration-level of redundant robot
manipulators is proposed, and its equivalence to the RMP scheme at velocity-level is …