This article concentrates on the adaptive neural control approach of-link flexible-joint
electrically driven robots. The presented control method only needs to know the position and …

The trajectory tracking plays a vital role in unmanned driving technology. Although
traditional control schemes may yield satisfactory outcomes in dealing with simple linear …

Aiming to build upon the slow convergence speed and low search efficiency of the potential
function-based rapidly exploring random tree star (RRT*) algorithm (P_RRT*), this paper …

Whole-body control (WBC) has emerged as an important framework in manipulation for
mobile manipulators. However, most existing WBC frameworks require known dynamics …

Domain-based electronic and electrical (E/E) architectures have been regarded as a
possible upgrade to distributed E/E architectures currently used in electric vehicles. In a …

In order to achieve collision-free path planning in complex environment, Munchausen deep
Q-learning network (M-DQN) is applied to mobile robot to learn the best decision. On the …

Complex contact-rich insertion is a ubiquitous robotic manipulation skill and usually involves
nonlinear and low-clearance insertion trajectories as well as varying force requirements. A …

Since last 40 years, the theory and technology of model predictive control (MPC) have been
developed rapidly. However, nonlinear MPC still faces difficulties such as high online …

Aiming at the formation control of multiple Mecanum-wheeled mobile robots (MWMRs) with
physical constraints and model uncertainties, a novel robust control scheme that combines …

A recurrent neural network (RNN) and differential evolution optimization (DEO) based
nonlinear model predictive control (NMPC) technique is proposed for position control of a …