In this article, we present a metaheuristic-based control framework, called beetle antennae
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …

This article proposes an improved general zeroing neural network model to suppress noise
and to enhance the real-time performance of solving TVQP problems. The proposed model …

Motion planning is a core issuein the field of robotic control, which directly affects the
programming efficiency of robots. In this article, we study the motion planning problem 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 …

Collision between dual robot manipulators during working process will lead to task failure
and even robot damage. To avoid mutual collision of dual robot manipulators while doing …

Robotic assistance via motorized robotic arm manipulators can be of valuable assistance to
individuals with upper-limb motor disabilities. Brain-computer interfaces (BCI) offer an …

Manipulability optimization plays a crucial role in the kinematic control of redundant
manipulators, as it reduces their risks of entering a singular state. However, manipulability is …

Redundant manipulators play a critical role in industry and academia, which can be
controlled from the kinematic or dynamic perspective. The motion-force control of redundant …

We present a method for effectively planning the motion trajectory of robots in manufacturing
tasks, the tool paths of which are usually complex and have a large number of discrete time …

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 …