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Journal of Robotic Systems
Article . 2003 . Peer-reviewed
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Article . 2003
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Article . 2017
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Dynamic Analysis of Tendon Driven Robotic Mechanisms

Dynamic analysis of tendon driven robotic mechanisms
Authors: Jyh-Jone Lee; Yueh-Hua Lee;

Dynamic Analysis of Tendon Driven Robotic Mechanisms

Abstract

AbstractIn this paper, a systematic methodology for the dynamic analysis of tendon‐driven robotic mechanisms is presented. The approach utilizes the recursive Newton‐Euler equations to compute the kinematic and dynamic equations of all links that locate on the transmission line of a tendon‐driven robotic mechanism. The inertias of the intermediate links in the mechanism are taken into account. It is shown that the dynamic equations can be established in a recursive manner from the end‐effector links toward the proximal links and can be solved at the proximal end without the need of solving the simultaneous system equations. The joint reaction forces and the tension in each segment of tendon can be also obtained. The methodology can be applied to both endless and open‐ended tendon drives. © 2003 Wiley Periodicals, Inc.

Country
Taiwan
Related Organizations
Keywords

Robot dynamics and control of rigid bodies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Average
bronze