Abstract
This paper provides an overview of the robot control system of the UW Huskies, our entry in the RoboCup-2001 Sony AIBO legged robot league. Our development team consisted of one faculty member (D. Fox, team leader), one technical support staff (R. Pitkanen), one undergraduate student (J.K. Burns), and six graduate students. Since this was our first participation in RoboCup, we relied on the implementation of well-established techniques for robot control. These techniques include a layered control system, particle filters for robot localization, and efficient computer vision techniques for object recognition.
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References
D. Fox. KLD-sampling: Adaptive particle filters and mobile robot localization. In Advances in Neural Information Processing Systems (NIPS), 2002. To appear.
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D. Kortenkamp, R. P. Bonasso, and R. Murphy, editors. Artificial Intelligence and Mobile Robots: Case Studies of Successful Robot Systems. MIT/AAAI Press, Cambridge, MA, 1998.
S. Lenser and M. Veloso. Sensor resetting localization for poorly modelled mobile robots. In Proc. of the IEEE International Conference on Robotics & Automation (ICRA), 2000.
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© 2002 Springer-Verlag Berlin Heidelberg
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Azari, D. et al. (2002). Team Description: UW Huskies-01. In: Birk, A., Coradeschi, S., Tadokoro, S. (eds) RoboCup 2001: Robot Soccer World Cup V. RoboCup 2001. Lecture Notes in Computer Science(), vol 2377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45603-1_122
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DOI: https://doi.org/10.1007/3-540-45603-1_122
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