Advances in robot learning : 8th European Workshop on Learning Robots, EWLR-8, Lausanne, Switzerland, September 18, 1999 : proceedings / Jeremy Wyatt, John Demiris (eds.).
Contributor(s): Wyatt, Jeremy (Jeremy L.) | Demiris, JohnMaterial type: TextSeries: SerienbezeichnungLecture notes in computer science: 1812.; Lecture notes in computer science: Publisher: Berlin ; New York : Springer, ©2000Description: 1 online resource (vi, 164 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540400448; 3540400443Subject(s): Robots -- Control systems -- Congresses | Artificial intelligence -- Congresses | Artificial intelligence | Robots -- Control systemsGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:European Workshop on Learning Robots (8th : 1999 : Lausanne, Switzerland).: Advances in robot learning.DDC classification: 629.8/9263 LOC classification: TJ211.35 | .E97 1999Other classification: 54.72 | DAT 005f | DAT 708f | FER 980f | SS 4800 Online resources: Click here to access online
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Includes bibliographical references and index.
This book constitutes the thoroughly refereed post-workshop proceedings of the 8th European Workshop on Learning Robots, EWLR'99, held in Lausanne, Switzerland in September 1999. The seven revised full workshop papers presented were carefully reviewed and selected for inclusion in the book. Also included are two invited full papers. Among the topics addressed are map building for robot navigation, multi-task reinforcement learning, neural network approaches, example-based learning, situated agents, planning maps for mobile robots, path finding, autonomous robots, and biologically inspired approaches.
Map Building through Self-Organisation for Robot Navigation -- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning -- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically--Rearranging Neural Network Approach -- How Does a Robot Find Redundancy by Itself? -- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples -- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions -- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment -- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots -- Biologically-Inspired Visual Landmark Learning for Mobile Robots.