In recent decades, wireless power transfer (WPT) has gained significant interest from both
academic and industrial experts. It possesses natural electrical isolation between transmitter …

For parameter identifications of robot systems, most existing works have focused on the
estimation veracity, but few works of literature are concerned with the convergence speed. In …

This paper proposes an enhanced robot skill learning system considering both motion
generation and trajectory tracking. During robot learning demonstrations, dynamic …

As an imitation of the biological nervous systems, neural networks (NNs), which have been
characterized as powerful learning tools, are employed in a wide range of applications, such …

Due to strongly coupled nonlinearities of the grasped dual-arm robot and the internal forces
generated by grasped objects, the dual-arm robot control with uncertain kinematics and …

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning
for coordinated multiple constrained robots carrying a common object in the presence of the …

Robot manipulators are playing increasingly significant roles in scientific researches and
engineering applications in recent years. Using manipulators to save labors and increase …

This paper proposes an improved ant colony algorithm to achieve efficient searching
capabilities of path planning in complicated maps for mobile robot. The improved ant colony …

In this paper, we present a model-free tracking controller for a cooperative mobile-
manipulators, which are the cornerstone for future smart homes. The mobile-manipulators …

In this paper, an adaptive trajectory tracking control algorithm for underactuated unmanned
surface vessels (USVs) with guaranteed transient performance is proposed. To meet the …