Subject: Slipping observer | Electronics | Robocup middle size league | Electronic computers. Computer science | Embedded system | Traction control | TK7800-8360 | QA75.5-76.95 | Friction force
This work addresses the problem of traction control in mobile wheeled
robots in the particular case of the RoboCup Middle Size League (MSL).
The slip control problem is formulated using simple friction
models for ISePorto Team robots with a differential wheel
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6.4. Qualitative analysis - Slipping Observer vs. External Vision System
 Lauro Ojeda and Johann Borenstein. Methods for the reduction of odometry errors in over-constrained mobile robots. Autonomous Robots, 16:273-286, 2004. 10.1023/B:AURO.0000025791.45313.01.
 A. Albagul. Dynamic Modelling and Control of a Wheeled Mobile Robot. PhD thesis, University of NewCastle Upon Tyne, 2001.
 G. T. Wilfong. Motion planning for an autonomous vehicle. In Proc. IEEE International Conference on Robotics and Automation, pages 529-533, April 24-29, 1988.
 Z. Shiller and Y.-R. Gwo. Dynamic motion planning of autonomous vehicles. 7(2):241-249, April 1991.
 Karl Iagnemma and Chris C. Ward. Classification-based wheel slip detection and detector fusion for mobile robots on outdoor terrain. Autonomous Robots, 26:33-46, 2009.
 Y. Hori, Y. Toyoda, and Y. Tsuruoka. Traction control of electric vehicle: basic experimental results using the test ev "uot electric march". 34(5):1131-1138, September 1998.
 L. Ojeda, D. Cruz, G. Reina, and J. Borenstein. Current-based slippage detection and odometry correction for mobile robots and planetary rovers. 22(2):366-378, 2006.
 C. Unsal and P. Kachroo. Sliding mode measurement feedback control for antilock braking systems. 7(2):271-281, March 1999.
 Hiroaki Kataoka, Hideo Sado, Ichiro Sakai, and Yoichi Hori. Optimal slip ratio estimator for traction control system of electric vehicle based on fuzzy inference. Electrical Engineering in Japan, 135(3):56 - 63, 2001.