Temperature variation intensively affects parameters of the friction force, particularly the average bristle deflections. In our earlier research work, a temperature dependent friction compensation scheme was developed for serial rigid robot manipulators which was comprised of a temperature dependent viscous friction compensation scheme and a temperature dependent disturbance rejection scheme. ...

This paper deals with the application of a variable structure observer developed for a class of nonlinear systems to solve the trajectory tracking problem for rigid robot manipulators. The analyzed approach to observer design proposes a simple design methodology for systems having completely observable linear parts and bounded nonlinearities and/or uncertainties. This observer is basically the ...

In this paper, a dual system consisting of two 5 DOF (RRRRR) robot manipulators is considered as a cooperative robotic system used to manipulate a rigid payload on a desired trajectory between two desired initial and end positions/orientations. The forward and inverse kinematic problems are first solved for the dual arm system. Then, dynamics of the system and the relations between forces/momen...

An intelligent control method is proposed for control of rigid robot manipulators which achieves exponential tracking of repetitive robot trajectory under uncertain operating conditions such as parameter uncertainty and unknown deterministic disturbance. In the learning controller, exponentially stable learning algorithms are combined with stabilizing computed error feedforward and feedback inp...

This paper presents a methodology to analyze dynamics of flexible space robot using bond graph. In case of space robots the position and orientation of the satellite main body may change when the manipulator moves. Motion of the space robots also induces vibrating motions in structurally flexible manipulators. Researchers working on terrestrial flexible robot arms principally have focused on is...

In the context of nonlinear model predictive control (NMPC) for robot manipulators, we address problem enabling mixed and transparent use algorithmic differentiation (AD) efficient analytical derivatives rigid-body dynamics (RBD) to decrease solution time subjacent optimal (OCP). Efficient functions RBD their are made available numerical optimization framework CasADi by overloading operators in...

TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...

The adaptive control of robot manipulators has been presented as a solution for dealing with uncertainty and variation of the mass properties. Although these systems are nonlinear, globally stable tracking has been demonstrated both analytically and supported through experiments [1]. The key to these results has been the linear dependence of the model on the unknown parameters and, in many case...

Traditional robots have rigid underlying structures that limit their ability to interact with their environment. For example, conventional robot manipulators have rigid links and can manipulate objects using only their specialised end effectors. These robots often encounter difficulties operating in unstructured and highly congested environments. A variety of animals and plants exhibit complex ...

Fault tolerance is increasingly important in modern industrial robotic manipulators, especially those operated in remote and hazardous environment. Faults in robotic manipulator can cause economic and serious damages. So the robots need the ability to detect as well as tolerate failures, allow effectively coping with internal failures and continue performing designated tasks without the need fo...