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Journal ArticleDOI

Controlled Synchronization of Heterogeneous Robotic Manipulators in the Task Space

TLDR
An adaptive control algorithm is proposed to guarantee task-space synchronization of networked robotic manipulators in the presence of dynamic uncertainties and time-varying communication delays.
Abstract
Passivity-based control has emerged as an important paradigm for synchronization of networked robotic systems. Despite the practical utility of task-space algorithms, the previous results focused on joint-space synchronization and were primarily derived for kinematically identical manipulators. Hence, in this paper, the problem of task-space synchronization of (possibly redundant) heterogeneous robotic systems is studied. By exploiting passivity-based synchronization results that are developed previously, an adaptive control algorithm is proposed to guarantee task-space synchronization of networked robotic manipulators in the presence of dynamic uncertainties and time-varying communication delays. To demonstrate the efficacy of the proposed framework, numerical simulations and experiments are conducted with redundant and nonredundant manipulators, respectively.

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Citations
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Journal ArticleDOI

Passivity and Output Synchronization of Complex Dynamical Networks With Fixed and Adaptive Coupling Strength

TL;DR: A complex dynamical network model, in which the input and output vectors have different dimensions, is considered, and two new passivity definitions are proposed, which generalize some existing concepts of passivity.
Journal ArticleDOI

Passivity based synchronization for networked robotic systems with uncertain kinematics and dynamics

TL;DR: An adaptive scheme is proposed to achieve controlled synchronization of the networked robotic systems on strongly connected graphs with a weighted Lyapunov-Krasovskii function and it is shown that both the task-space tracking errors and synchronization errors of thenetworked robotic agents converge to zero.
Journal ArticleDOI

Control of semi-autonomous teleoperation system with time delays

TL;DR: A semi-autonomous control framework for bilateral teleoperation consisting of heterogeneous master and slave robots, where the slave robot is assumed to be a redundant manipulator, and all signals of the proposed teleoperation system are proven to be ultimately bounded.
Journal ArticleDOI

Task-Space Synchronization of Networked Robotic Systems With Uncertain Kinematics and Dynamics

TL;DR: A cascade framework is proposed to facilitate the synchronization controller design for networked robotic systems with an adaptive task-space synchronization scheme with indirect/direct kinematic parameter adaptations and a direct dynamic parameter adaptation for the networked robots.
Journal ArticleDOI

Consensus in Networks of Nonidentical Euler–Lagrange Systems Using P+d Controllers

TL;DR: A proportional plus damping controller that can asymptotically drive a network composed of N nonidentical Euler-Lagrange (EL) systems toward a consensus point is presented.
References
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Book

Algebraic Graph Theory

TL;DR: The Laplacian of a Graph and Cuts and Flows are compared to the Rank Polynomial.
Journal ArticleDOI

Time-delay systems: an overview of some recent advances and open problems

TL;DR: Some open problems are discussed: the constructive use of the delayed inputs, the digital implementation of distributed delays, the control via the delay, and the handling of information related to the delay value.
Book

Robot Modeling and Control

TL;DR: In this paper, the Jacobian is used to describe the relationship between rigid motions and homogeneous transformations, and a linear algebraic approach is proposed for vision-based control of dynamical systems.
Journal ArticleDOI

Modeling and control of formations of nonholonomic mobile robots

TL;DR: This paper addresses the control of a team of nonholonomic mobile robots navigating in a terrain with obstacles while maintaining a desired formation and changing formations when required, using graph theory.
Journal ArticleDOI

Adaptive manipulator control: A case study

TL;DR: In this article, a simple adaptive controller for manipulator trajectory control problems is proposed, which is shown to have the same level of robustness to unmodeled dynamics as a PD (proportional and differential) controller yet achieves much better tracking accuracy than either PD or computed-torque schemes.
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