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An optimal wheel-torque control on a compliant modular robot for wheel-slip minimization

Published online by Cambridge University Press:  01 September 2015

Avinash Siravuru ,
Suril V. Shah  and
K. Madhava Krishna
Avinash Siravuru*
Affiliation:
Robotics Research Centre, International Institute of Information Technology, Hyderabad, 500032, India. E-mails: avinash.siravuru@research.iiit.ac.in, surilshah@iiit.ac.in, mkrishna@iiit.ac.in
Suril V. Shah
Affiliation:
Robotics Research Centre, International Institute of Information Technology, Hyderabad, 500032, India. E-mails: avinash.siravuru@research.iiit.ac.in, surilshah@iiit.ac.in, mkrishna@iiit.ac.in
K. Madhava Krishna
Affiliation:
Robotics Research Centre, International Institute of Information Technology, Hyderabad, 500032, India. E-mails: avinash.siravuru@research.iiit.ac.in, surilshah@iiit.ac.in, mkrishna@iiit.ac.in
*
*Corresponding author. E-mail: sirneonash@gmail.com
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Summary

This paper discusses the development of an optimal wheel-torque controller for a compliant modular robot. The wheel actuators are the only actively controllable elements in this robot. For this type of robots, wheel-slip could offer a lot of hindrance while traversing on uneven terrains. Therefore, an effective wheel-torque controller is desired that will also improve the wheel-odometry and minimize power consumption. In this work, an optimal wheel-torque controller is proposed that minimizes the traction-to-normal force ratios of all the wheels at every instant of its motion. This ensures that, at every wheel, the least traction force per unit normal force is applied to maintain static stability and desired wheel speed. The lower this is, in comparison to the actual friction coefficient of the wheel-ground interface, the more margin of slip-free motion the robot can have. This formalism best exploits the redundancy offered by a modularly designed robot. This is the key novelty of this work. Extensive numerical and experimental studies were carried out to validate this controller. The robot was tested on four different surfaces and we report an overall average slip reduction of 44% and mean wheel-torque reduction by 16%.

Keywords

Modular RobotsWheel-Slip MinimizationCompliant Robot

Information

Type
Articles
Information
Robotica , Volume 35 , Issue 2 , February 2017 , pp. 463 - 482
Copyright
Copyright © Cambridge University Press 2015 

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References

1. Apostolopoulos, D., “Analytic configuration of wheeled robotic locomotion,” Carnegie Mellon University (2001).Google Scholar
2. Avinash, S., Srivastava, A., Purohit, A., Shah, S. V. and Krishna, K. M., “A Compliant Multi-Module Robot for Climbing Big Step-Like Pbstacles,” IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China (2014).CrossRefGoogle Scholar
3. Avinash, S., Shah, S. V. and Madhava Krishna, K., “Wheel Torque Optimization for a Compliant Modular Robot,” National Conference on Machines and Mechanisms (NaCoMM), Roorkee, India (2013).Google Scholar
4. Lamon, P., Krebs, A., Lauria, M., Siegwart, R. and Shooter, S., “Wheel Torque Control for a Rough Terrain Rover,” IEEE International Conference on Robotics and Automation (ICRA), New Orleans, USA (2004).CrossRefGoogle Scholar
5. Lamon, P. and Siegwart, R., “Wheel Torque Control in Rough Terrain-Modeling and Simulation,” IEEE International Conference on Robotics and Automation (ICRA), Barcelona, Spain (2005).Google Scholar
6. Thueer, T., Lamon, P., Krebs, A. and Siegwart, R., “Crab-exploration Rover with Advanced Obstacle Negotiation Capabilities,” Proceedings of the 9th ESA Workshop on Advanced Space Technologies for Robotics and Automation (ASTRA), Noordwijk, The Netherlands (2006).Google Scholar
7. Krebs, A., Thueer, T., Carrasco, E. and Siegwart, R., “Towards Torque Control of the Crab Rover,” Proceedings of the 9th International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS), Los Angeles, USA (2008).Google Scholar
8. Krebs, A., Risch, F., Thueer, T., Maye, J., Pradalier, C. and Siegwart, R., “Rover Control Based on an Optimal Torque Distribution-Application to 6 Motorized Wheels Passive Rover,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan (2010).CrossRefGoogle Scholar
9. Xu, B., Pradalier, C., Krebs, A., Siegwart, R. and Sun, F., “Composite Control Based on Optimal Torque Control and Adaptive Kriging Control for the Crab Rover,” IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China (2011).Google Scholar
10. Turker, K., Sharf, I. and Trentini, M., “Step Negotiation with Wheel Traction: A Strategy for a Wheel-Legged Robot,” IEEE International Conference on Robotics and Automation (ICRA), St. Paul, USA (2012).Google Scholar
11. Estier, T., Crausaz, Y., Merminod, B., Lauria, M., Piguet, R. and Siegwart, R., “An innovative space rover with extended climbing abilities,” Proc. Space Robot. 2000, 333–339 (2000).Google Scholar
12. Krebs, A., Thueer, T., Michaud, S. and Siegwart, R., “Performance Optimization of All-Terrain Robots: A 2d Quasi-Static Tool,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Beijing, China (2006).Google Scholar