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Modeling tendon-sheath mechanism with flexible configurations for robot control

Published online by Cambridge University Press:  14 May 2013

Zheng Wang ,
Zhenglong Sun  and
Soo Jay Phee
Zheng Wang
Affiliation:
Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, USA
Zhenglong Sun*
Affiliation:
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Soo Jay Phee
Affiliation:
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
*
*Corresponding author. E-mail: sunz0006@e.ntu.edu.sg
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Summary

Surgical and search/rescue robots often work in environments with very strict spatial constraints. The tendon-sheath mechanism is a promising candidate for driving such systems, allowing power sources and actuation motors placed outside to transmit force and energy to the robot at the distal end through the constrained environment. Having both compactness and high force capability makes it very attractive for manipulation devices. On the other hand, the friction attenuation of tendon tension is nonlinear and configuration-dependent due to tendon/sheath interactions throughout the transmission path. This is a major obstacle for the tendon-sheath mechanism to be widely adopted. Here, we focus on the friction analysis for flexible and time-varying tendon-sheath configurations: the most challenging but yet commonly encountered case for real-world applications. Existing results on fixed-path configurations are reviewed, revisited, and extended to flexible and time-varying cases. The effect of tendon length to friction attenuation is modeled. While focusing on tension transmission, tendon elongation is also discussed with the length effect applied. In the end, two-dimensional results are extended to three-dimensional tendon-sheath configurations. All propositions and theorems are validated on a dedicated experimental platform.

Keywords

Control of robotic systemsForce controlSurgical robotsHaptic interfacesTeleoperation
Type
Articles
Information
Robotica , Volume 31 , Issue 7 , October 2013 , pp. 1131 - 1142
Copyright
Copyright © Cambridge University Press 2013 

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