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Control of Robot Manipulators in Joint Space

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TLDR
In this paper, a case study of the Pelican prototype robot is presented, where the authors present a Lyapunov theory for the dynamics of direct-current motors and demonstrate the properties of the dynamic model.
Abstract
Part I: Preliminaries.- Introduction to Part I.- What Does 'Control of Robots' Involve?.- Mathematical Preliminaries.- Robot Dynamics.- Properties of the Dynamic Model.- Case Study: The Pelican Prototype Robot.- Part II: Position Control.- Introduction to Part II.- Proportional Control plus Velocity Feedback and PD Control.- PD Control with Gravity Compensation.- PD Control with Desired Gravity Compensation.- PID Control.- Part III: Motion Control.- Introduction to Part III.- Computed-torque Control and Computed-torque+ Control.- PD+ Control and PD Control with Compensation.- Feedforward Control and PD Control plus Feedforward.- Part IV: Advanced Topics.- Introduction to Part IV.- P'D' Control with Gravity Compensation and P'D' Control with Desired Gravity Compensation.- Introduction to Adaptive Robot Control.- PD Control with Adaptive Desired Gravity Compensation.- PD Control with Adaptive Compensation.- Appendices.- A. Mathematical Support.- B. Support for Lyapunov Theory.- C. Proofs of some Properties of the Dynamic Model.- D. Dynamics of Direct-current Motors.

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Proceedings ArticleDOI

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Novel Tuning Rules of PD Controller for Industrial Processes

TL;DR: The paper presents a simple and an efficient design method of Proportional-Derivative (PD) controller, which has been extensively used in industry e.g. to eliminate position error at robotic manipulators and other mechatronic systems.
Journal ArticleDOI

Model-Learning-Based Partitioned Control of a Human-Powered Augmentation Lower Exoskeleton

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Book ChapterDOI

The Design and Development of an Interactive Teaching Tool for Robotics and Control System Course Using Rapid Control Prototyping Solution

TL;DR: An application of interactive simulation designed by using the National Instrument’s (NI) LabVIEW to teach control systems of robots by Using the Rapid Control Prototyping method, which considers a nonlinear robot arm and two control modules: computed torque control and PID control.
Proceedings Article

An adaptive controller for bilateral teleoperators: Transatlantic experiments using the internet

TL;DR: In this paper, the adaptive controllers provided asymptotic stability of the local and remote position error even in the presence of variable time-delays in a bilateral teleoperator composed of two nonlinear manipulators.