We survey the recent work on micro unmanned aerial vehicles (UAVs), a fast-growing field
in robotics, outlining the opportunities for research and applications, along with the scientific …

One of the simplest position controllers for robot manipula tors is the PD control with desired
gravity compensation. The objective of this article is to review important aspects of this …

This paper presents dynamic learning from adaptive neural control (ANC) with prescribed
tracking error performance for an n-link robot manipulator subjected to unknown system …

Introduction; Mathematical background; Dynamic modelling of robots; Structured network
modelling of robots; Adaptive neural network control of robots; Neural network model …

This paper reports the development of a robotic system designed to extend a human's ability
to perform small-scale (sub-millimeter) manipulation tasks requiring human judgment …

We report on our efforts to develop a sequential robot controller-composition technique in
the context of dexterous “batting” maneuvers. A robot with a flat paddle is required to strike …

For a class of robot arms, a proportional-derivative (PD) controller plus gravity compensation
yields the global asymptotic stability for regulation tasks, and some proportional-integral …

Passivity-based control methods for robots, which achieve the control objective by resha**
the robot system's natural energy via state feedback, have, from a practical point of view …

We present a general framework for the control of Lagrangian systems with as many inputs
as degrees of freedom. Relying on the geometry of mechanical systems on manifolds, we …

This paper presents an overview of robust control schemes for robot manipulators. The
survey summarizes the vast literature on the subject. The different modelling assumptions …