The end-effector is a key device for direct contact and operation between the operator and
the workpiece, and its mechanical structure will directly affect the quality of the machine and …

In this paper, adaptive robust force/motion control strategies are presented for mobile
manipulators under both holonomic and nonholonomic constraints in the presence of …

A fundamental requirement in robot control is the capability to improve the robot-
environment interaction performance. Motivated by the fact that humans are able to adapt …

A novel control system is developed to control dynamic behavior of a vehicle subject to road
disturbances. The novelty of this paper is to apply the impedance control on an active …

In this paper, an adaptive fuzzy neural network (FNN) control scheme is developed for a
class of multipleinput and multiple-output (MIMO) nonlinear systems subject to unknown …

In this article, learning impedance control is proposed for physical robot–environment
interaction. Learning mechanism is developed such that the knowledge of the robot structure …

In this paper, an intelligent variable impedance control combined with a fuzzy gain dynamic
surface is proposed to improve the interaction of the robot manipulator with an unknown …

Mobile manipulators combine the advantages of mobile platforms and robotic arms,
extending their operational range and functionality to large spaces and remote, demanding …

In this paper, adaptive fuzzy logic control of dynamic balance and motion is investigated for
wheeled inverted pendulums with parametric and functional uncertainties. The proposed …

In this paper, a neural network (NN) based adaptive controller has been successfully
developed for the teleoperation of a DLR-HIT II robot hand using Leap Motion sensor. To …