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A tool for the evaluation of human lower arm injury: approach, experimental validation and application to safe robotics

Published online by Cambridge University Press:  22 April 2015

B. Povse ,
S. Haddadin ,
R. Belder ,
D. Koritnik  and
T. Bajd
B. Povse
Affiliation:
R & D department for automation, robotics and electronic instrumentation, Dax Electronic systems Company, Vreskovo 68, Trbovlje, Slovenia. E-mail: [email protected]
S. Haddadin*
Affiliation:
Institute of Automatic Control, Leibniz Universität Hannover, Hanover, Germany
R. Belder
Affiliation:
Robotics and Mechatronics Center, DLR, Oberpfaffenhofen, Germany
D. Koritnik
Affiliation:
R & D department for automation, robotics and electronic instrumentation, Dax Electronic systems Company, Vreskovo 68, Trbovlje, Slovenia. E-mail: [email protected]
T. Bajd
Affiliation:
Laboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, Ljubljana, Slovenia
*
*Corresponding author. E-mail: [email protected]
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Summary

This paper treats the systematic injury analysis of lower arm robot–human impacts. For this purpose, a passive mechanical lower arm (PMLA) was developed that mimics the human impact response and is suitable for systematic impact testing and prediction of mild contusions and lacerations. A mathematical model of the passive human lower arm is adopted to the control of the PMLA. Its biofidelity is verified by a number of comparative impact experiments with the PMLA and a human volunteer. The respective dynamic impact responses show very good consistency and support the fact that the developed device may serve as a human substitute in safety analysis for the described conditions. The collision tests were performed with two different robots: the DLR Lightweight Robot III (LWR-III) and the EPSON PS3L industrial robot. The data acquired in the PMLA impact experiments were used to encapsulate the results in a robot independent safety curve, taking into account robot's reflected inertia, velocity and impact geometry. Safety curves define the velocity boundaries on robot motions based on the instantaneous manipulator dynamics and possible human injury due to unforeseen impacts.

Keywords

Human biomechanicsMan-machine systemsRobot dynamicsControl of robotic systemsMechatronic systems
Type
Articles
Information
Robotica , Volume 34 , Issue 11 , November 2016 , pp. 2499 - 2515
Copyright
Copyright © Cambridge University Press 2015 

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