Recently, the working scenes of the robot have been emerging as diversity and complexity
with gradually mature of robotic control technology. The challenge of robot adaptability …

In combination with a robotic arm, a mobile platform can fulfill complicated functions but may
encounter singularity problems. To solve them, this work investigates the kinematic control of …

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 …

From the optimization perspective, this article proposes a novel actual shape-based
obstacle avoidance synthesized by velocity–acceleration minimization (ASOA-VAM) scheme …

In real-world robotics applications, kinematic parameters of redundant manipulators may
need to be changed, thus creating difficulties in achieving precise control. To address this …

Most schemes of trajectory tracking control of redundant manipulators consider only the
position of the end-effector with little regard for its orientation, and reduce the feasible region …

Collision avoidance plays a major part in the control of the wheeled mobile robot (WMR).
Most existing collision-avoidance methods mainly focus on a single WMR and …

Obstacle avoidance is usually an additional task for a redundant manipulator when the end-
effector tracking task is performed, which guarantees the safety of the redundant …

In order to find the theoretical solution of a dynamic Sylvester equation (DSE) in noisy
environment, a robust fast convergence zeroing neural network (RFCZNN) is proposed in …

Motion-force control of redundant manipulators is universally regarded as a pivotal issue in
industrial manufacturing, especially for the processing of precision instruments. This paper …