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HuroCup: competition for multi-event humanoid robot athletes

Published online by Cambridge University Press:  04 August 2016

Jacky Baltes
Affiliation:
Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada, R3T-2N2 e-mail: [email protected], [email protected]
Kuo-Yang Tu
Affiliation:
Institute of System Information and Control Address, National Kaohsiung First University of Science and Technology, 2, Juoyue Road, Nantzi, Kaohsiung City, Taiwan 811, Republic of China e-mail: [email protected]
Soroush Sadeghnejad
Affiliation:
Amirkabir Robotic Institute, Amirkabir University of Technology (Tehran Polytechnic), No. 424, Hafez Ave., P. O. Box 15875-4413, Tehran, Iran e-mail: [email protected]
John Anderson
Affiliation:
Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada, R3T-2N2 e-mail: [email protected], [email protected]

Abstract

This paper describes the motivation for the development of the HuroCup competition and follows the rule development from its inaugural competition from 2002 to 2015. The history of HuroCup is broken down into its growing phase (2002–2006), a time of explosive growth (2007–2011), and current times. This paper describes the main research focus of HuroCup, the multi-event humanoid robot competition: (a) active balancing, (b) complex motion planning, and (c) human–robot interaction and shows how the various HuroCup events relate to those research topics. This paper concludes with some medium- and long-term goals of the rule development for HuroCup.

Type
Review Article
Copyright
© Cambridge University Press, 2017 

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References

Bagot, J., Anderson, J. & Baltes, J. 2008. Vision-based multi-agent slam for humanoid robots. In Proceedings of the 5th International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS-2008), 171–176.Google Scholar
Baltes, J. 2000. A benchmark suite for mobile robots. In Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2000 (IROS 2000), 2, 1101–1106. IEEE.Google Scholar
Baltes, J. & Anderson, J. 2003. Flexible binary space partitioning for robotic rescue. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2003 (IROS 2003), 4, 3144–3149. IEEE.Google Scholar
Durrant-Whyte, H. & Bailey, T. 2006. Simultaneous localization and mapping: part i. IEEE Robotics & Automation Magazine 13(2), 99110.CrossRefGoogle Scholar
Martins, L. T., Pretto, R. M., Gerndt, R. & Guerra, R. S. 2015. Design of a modular series elastic upgrade to a robotics actuator. In RoboCup 2014: Robot World Cup XVIII, 701–708. Springer International Publishing. Lecture Note in Artificial Intelligence, Series Volume 8992.Google Scholar
Montemerlo, M., Thrun, S., Koller, D. & Wegbreit, B. 2002. FastSLAM: a factored solution to the simultaneous localization and mapping problem. In AAAI/IAAI, 593–598.Google Scholar
Pratt, G. A. & Williamson, M. M. 1995. Series elastic actuators. In Proceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems 95.‘Human Robot Interaction and Cooperative Robots’, 1, 399–406. IEEE.Google Scholar
Quinlan, M. J. & Middleton, R. H. 2009. Multiple model Kalman filters: a localization technique for RoboCup soccer. In RoboCup 2009: Robot Soccer World Cup XIII, 276–287. Springer.CrossRefGoogle Scholar
Wickrath, M. 2010. Applied complex motion planning and motion control for humanoid robots in vertical motion sceneries. In Trends in Intelligent Robotics, 82–89. Springer.CrossRefGoogle Scholar