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Dynamics and path tracking of continuum robotic arms using data-driven identification tools

Published online by Cambridge University Press:  09 August 2021

Aida Parvaresh Open the ORCID record for Aida Parvaresh [Opens in a new window]  and
S. Ali A. Moosavian
Aida Parvaresh
Affiliation:
Center of Excellence in Robotics and Control, Advanced Robotics & Automated systems (ARAS) Laboratory, Dept of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
S. Ali A. Moosavian*
Affiliation:
Center of Excellence in Robotics and Control, Advanced Robotics & Automated systems (ARAS) Laboratory, Dept of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
*
*Corresponding author. E-mail: moosavian@kntu.ac.ir
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Abstract

In this paper, forward/inverse dynamics of a continuum robotic arm is developed using a data-driven approach, which could tackle uncertainties and extreme nonlinearities to obtain reliable solutions. By establishing a direct mapping between the actuator and task spaces, the unnecessary mappings of actuator-to-configuration then configuration-to-task are eliminated, to reduce extra computational cost. The proposed approach is validated through simulation (based on Cosserat rod theory) and experimental tests on RoboArm. Next, path tracking in the presence/absence of obstacles as well as load carrying maneuver are investigated. Finally, the obtained results concerning repeatability, scalability, and disturbance rejection performance of the approach are discussed.

Keywords

Continuum robotic armpath trackingforward dynamics probleminverse dynamics problemsystem identificationload carrying maneuver

Information

Type
Research Article
Information
Robotica , Volume 40 , Issue 4 , April 2022 , pp. 1098 - 1124
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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