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Journal ArticleDOI

Modelling and Control of Robot Manipulators

Jon Rigelsford
- 01 Oct 2000 - 
- Vol. 27, Iss: 5
TLDR
In this article, the authors tried to read modelling and control of robot manipulators as one of the reading material to finish quickly, and they found that reading book can be a great choice when having no friends and activities.
Abstract
Feel lonely? What about reading books? Book is one of the greatest friends to accompany while in your lonely time. When you have no friends and activities somewhere and sometimes, reading book can be a great choice. This is not only for spending the time, it will increase the knowledge. Of course the b=benefits to take will relate to what kind of book that you are reading. And now, we will concern you to try reading modelling and control of robot manipulators as one of the reading material to finish quickly.

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Citations
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MonographDOI

Planning Algorithms: Introductory Material

TL;DR: This coherent and comprehensive book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms, into planning under differential constraints that arise when automating the motions of virtually any mechanical system.
Proceedings ArticleDOI

Policy Gradient Methods for Robotics

TL;DR: An overview on learning with policy gradient methods for robotics with a strong focus on recent advances in the field is given and how the most recently developed methods can significantly improve learning performance is shown.
Proceedings ArticleDOI

Torque-position transformer for task control of position controlled robots

TL;DR: The concept of torque-to-position transformer designed to allow the implementation of joint torque control techniques on joint position-controlled robots is presented and the results are presented which demonstrate the effectiveness of this approach.
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Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors

TL;DR: It appears that the protocol in combination with the MT9B is valid for, and theMT9B in combinationWith the protocol is accurate when, measuring shoulder and elbow kinematics, during the tasks tested, in ambulatory settings.
Journal ArticleDOI

Learning variable impedance control

TL;DR: The results show that the power of variable impedance control is made available to a wide variety of robotic systems and practical applications and can be used not only for planning but also to derive variable gain feedback controllers in realistic scenarios.
References
More filters
MonographDOI

Planning Algorithms: Introductory Material

TL;DR: This coherent and comprehensive book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms, into planning under differential constraints that arise when automating the motions of virtually any mechanical system.
Proceedings ArticleDOI

Policy Gradient Methods for Robotics

TL;DR: An overview on learning with policy gradient methods for robotics with a strong focus on recent advances in the field is given and how the most recently developed methods can significantly improve learning performance is shown.
Proceedings ArticleDOI

Torque-position transformer for task control of position controlled robots

TL;DR: The concept of torque-to-position transformer designed to allow the implementation of joint torque control techniques on joint position-controlled robots is presented and the results are presented which demonstrate the effectiveness of this approach.
Journal ArticleDOI

Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors

TL;DR: It appears that the protocol in combination with the MT9B is valid for, and theMT9B in combinationWith the protocol is accurate when, measuring shoulder and elbow kinematics, during the tasks tested, in ambulatory settings.
Journal ArticleDOI

Learning variable impedance control

TL;DR: The results show that the power of variable impedance control is made available to a wide variety of robotic systems and practical applications and can be used not only for planning but also to derive variable gain feedback controllers in realistic scenarios.