Mathematical Programming: Series A and B
Modelling and Control of Robot Manipulators
Modelling and Control of Robot Manipulators
Analysis and design of recurrent neural networks and their applications to control and robotic systems
A multi-arm robotic system for optimal sculpting
Robotics and Computer-Integrated Manufacturing
Robotics and Computer-Integrated Manufacturing
A delayed projection neural network for solving linear variational inequalities
IEEE Transactions on Neural Networks
Bi-criteria torque minimization of redundant robot arms with schemes, models and methods compared
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Multicriteria optimization for coordination of redundant robots using a dual neural network
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Robotics and Computer-Integrated Manufacturing
A repeatable inverse kinematics algorithm with linear invariant subspaces for mobile manipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A neural network model for monotone linear asymmetric variational inequalities
IEEE Transactions on Neural Networks
A recurrent neural network for solving Sylvester equation with time-varying coefficients
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks - Part 1
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In this paper, we propose a novel repetitive motion planning (RMP) scheme at the joint-acceleration level (termed, the acceleration-level RMP scheme, the ARMP scheme), which incorporates joint-angle limits, joint-velocity limits and joint-acceleration limits. To do this, Zhang et al's neural-dynamic method is employed to derive and design such an ARMP scheme. Such a scheme is then reformulated as a quadratic program (QP). To solve this QP problem online, a simplified linear-variational-inequality based primal-dual neural network (i.e., S-LVI-PDNN) is designed. With simple piecewise-linear dynamics and global exponential convergence to the optimal solution, such an S-LVI-PDNN solver can handle the strictly convex QP problem in an inverse-free manner. Finally, three given tasks, i.e., rhombic path, straight-line path and square path tracking tasks, are fulfilled by three-link, four-link and five-link planar robot arms, respectively. Computer-simulation and physical experiment results validate the physical realizability, efficacy and accuracy of the ARMP scheme and the corresponding S-LVI-PDNN solver.