Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …

The application of robots in mechanical assembly increases the efficiency of industrial
production. With the requirements of flexible manufacturing, it has become a research …

This paper studies the trajectory tracking problem of flap**-wing micro aerial vehicles
(FWMAVs) in the longitudinal plane. First of all, the kinematics and dynamics of the FWMAV …

This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

This article discusses the control design and experiment validation of a flexible two-link
manipulator (FTLM) system represented by ordinary differential equations (ODEs). A …

In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …

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 …

In this article, we propose a hybrid framework using visual and force sensing for human-
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …

Exoskeletons are increasingly used to assist humans in military, industry, and healthcare
applications, thereby enabling individuals to gain increased strength and endurance. This …

This paper proposed a skill transmission technique for the mobile robot via learning by
demonstration. When the material is transported to the designated location, the robot can …