There is a high demand for developing effective controllers to perform fast and accurate
operations for either flexible link manipulators (FLMs) or rigid link manipulators (RLMs) …

This paper presents a robust hybrid fault‐tolerant optimal predictive control (HFTPC), for an
industrial robot arm under hybrid (electric and pneumatic) actuator faults and/or varying time …

In this paper, a neural network (NN)-based adaptive hybrid impedance control (AHIC)
scheme is proposed for the electrically driven flexible-joint robotic manipulators (EDFJRM) …

This article proposes a model free position-force control method for uncertain environmental
constrained reconfigurable manipulators based on adaptive dynamic programming …

This study is concerned with the region reaching formation control problem with collision
and obstacle avoidance for multi-robot systems in the presence of model uncertainties and …

In this paper, an adaptive Jacobian and neural network based position/force tracking
impedance control scheme is proposed for controlling robotic systems with uncertainties and …

This paper investigates a novel control algorithm to deal with trajectory tracking control
problems of robotic manipulators based on adaptive backstepping integral nonsingular …

This article presents a novel fault-tolerant position-force optimal control method for
constrained reconfigurable manipulators with uncertain actuator failures. On the basis of the …

In this paper, a hybrid position/force tracking control scheme based on neural network
observer is proposed for robotic systems with uncertain parameters and external …

By mapping the performances of the task requirement and the inherent physical
characteristics of the robotic systems to the hybrid constraints, this article proposes a task …