By Ulrich Nehmzow (auth.), Jeremy Wyatt, John Demiris (eds.)
This booklet constitutes the completely refereed post-workshop court cases of the eighth eu Workshop on studying Robots, EWLR'99, held in Lausanne, Switzerland in September 1999.
The seven revised complete workshop papers awarded have been rigorously reviewed and chosen for inclusion within the e-book. additionally integrated are invited complete papers. one of the themes addressed are map development for robotic navigation, multi-task reinforcement studying, neural community methods, example-based studying, positioned brokers, making plans maps for cellular robots, direction discovering, self reliant robots, and biologically encouraged approaches.
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This publication is a facsimile reprint and will comprise imperfections corresponding to marks, notations, marginalia and improper pages.
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Extra info for Advances in Robot Learning: 8th European Workshop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings
At the lowest level of the system architecture, we ﬁnd the Saphira server , which runs on board the robot. The function of the server is to control the drive motors and the gripper and to collect data from the position encoders of the wheels and the sonar sensors. The server receives target values of the wheel velocities from the Saphira client running on the host computer. The Saphira client integrates a number of functions such as sending commands to the server, gathering information from the robot’s sensors, and micro-tasking.
V. F. Leavers. Shape Detection in Computer Vision Using the Hough Transform. Springer, London, UK, 1992. 15. J. K. Leonard and H. F. Durrant-Whyte. Directed Sonar Sensing for Mobile Robot Navigation. Kluwer Academic, 1992. 16. S. Mahadevan and J. Connell. Automatic programming of behaviour-based robots using reinforcement learning. Artiﬁcial Intelligence, 55(2-3):311–365, 1992. 17. M. J. Matari´c. Reward functions for accelerated learning. In Proceedings of the Eleventh International Conference on Machine Learning, pages 181–189.
A. G. Barto, S. J. Bradtke, and S. P. Singh. Learning to act using real-time dynamic programming. Artiﬁcial Intelligence, 72(1):81–138, 1995. 2. W. Burgard, D. Fox, and D. Hennig. Fast grid-based position tracking for mobile robots. In G. Brewka, C. Habel, and B. Nebel, editors, Proceedings of the 21st Annual German Conference on Artiﬁcial Intelligence (KI-97): Advances in Artiﬁcial Intelligence, pages 289–300. Springer, 1997. 3. R. A. Caruana. Learning many related tasks at the same time with backpropagation.
Advances in Robot Learning: 8th European Workshop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings by Ulrich Nehmzow (auth.), Jeremy Wyatt, John Demiris (eds.)