This paper introduces a computationally efficient control scheme for safe human–robot
interaction. The method relies on the Explicit Reference Governor (ERG) formalism to …

A correlation between fuzzy logic systems (FLS) and zeroing neural networks (ZNN) design
is investigated. It is shown that the gain parameter included in ZNN design can be …

Inspired by the nature of actual dynamics systems with time-varying parameters, varying-
parameter convergence differential neural network (termed as VP-CDNN) has been put …

Redundant manipulators are no doubt indispensable devices in industrial production. There
are various works on the redundancy resolution of redundant manipulators in performing a …

When a robot completes end-effector tasks, internal error noises always exist. To resist
internal error noises of robots, a novel fuzzy recurrent neural network (FRNN) is proposed …

Recent studies have verified that zeroing neural network is suitable for model-free feedback
control of redundant robot manipulators with excellent convergence and accuracy. Unlike …

To obtain smoother kinematic control of minimum motion, a novel snap-layer minimum
motion scheme, otherwise known as the minimum motion planning and control (MMPC) …

An integration-enhanced noise-tolerant zeroing neural network (IENTZNN) model for
computing various expressions involving outer inverses is defined and considered. The …

Aiming at uncertainties and variable loads of the robot arm, a nonlinear control algorithm is
proposed. The design of the proposed control is based on the engineering practice of the …

This paper proposes a novel constrained optimization model to address the loco-
manipulation problem of mobile robot with redundant manipulator for trajectory tracking. To …