Ebook: Learning Robots: 6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings

Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented work, such as the exploitation of learning techniques for industrial robotics. Given this broad scope of interests, it is not surprising that, although AI and robotics are usually the core of the robot learning eld, disciplines like cog- tive science, mathematics, social sciences, neuroscience, biology, and electrical engineering have also begun to play a role in it. In this way, its interdisciplinary character is more than a mere fashion, and leads to a productive exchange of ideas. One of the aims of EWLR-6 was to foster this exchange of ideas and to f- ther boost contacts between the di erent scienti c areas involved in learning robots. EWLR is, traditionally, a European Workshop on Learning Robots". Nevertheless, the organizers of EWLR-6 decided to open up the workshop to non-European research as well, and included in the program committee we- known non-European researchers. This strategy proved to be successful since there was a strong participation in the workshop from researchers outside - rope, especially from Japan, which provided new ideas and lead to new contacts.

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This book constitutes the thoroughly refereed post-workshop proceedings of the 6th European Workshop Learning Robots, EWLR '96, held in Brighton, UK.
The 12 revised full papers presented were carefully reviewed and selected during an iterated revision process. Besides the core areas of artificial intelligence and robotics, issues from cognitive science, mathematics, social sciences, neuroscience, biology, and electronic engineering are of importance for this interdisciplinary area. Among the topics covered are reinforcement learning, Q-learning, robot behavior, state space construction, autonomous robot, mobile robots, neural networks, robot perception, evolutionary learning, evolvable hardware.

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This book constitutes the thoroughly refereed post-workshop proceedings of the 6th European Workshop Learning Robots, EWLR '96, held in Brighton, UK.
The 12 revised full papers presented were carefully reviewed and selected during an iterated revision process. Besides the core areas of artificial intelligence and robotics, issues from cognitive science, mathematics, social sciences, neuroscience, biology, and electronic engineering are of importance for this interdisciplinary area. Among the topics covered are reinforcement learning, Q-learning, robot behavior, state space construction, autonomous robot, mobile robots, neural networks, robot perception, evolutionary learning, evolvable hardware.
Content:
Front Matter....Pages I-VIII
The construction and acquisition of visual categories....Pages 1-12
Q-Learning with Adaptive State Space Construction....Pages 13-28
Modular Reinforcement Learning: An Application to a Real Robot Task....Pages 29-45
Analysis and Design of Robot’s Behavior: Towards a Methodology....Pages 46-61
Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments....Pages 62-78
Transmitting Communication Skills Through Imitation in Autonomous Robots....Pages 79-94
Continual Robot Learning with Constructive Neural Networks....Pages 95-108
Robot Learning and Self-Sufficiency: What the energy-level can tell us about a robot’s performance....Pages 109-125
Perceptual grounding in robots....Pages 126-141
A Learning Mobile Robot: Theory, Simulation and Practice....Pages 142-154
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition....Pages 155-172
Robot Learning using Gate-Level Evolvable Hardware....Pages 173-188

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This book constitutes the thoroughly refereed post-workshop proceedings of the 6th European Workshop Learning Robots, EWLR '96, held in Brighton, UK.
The 12 revised full papers presented were carefully reviewed and selected during an iterated revision process. Besides the core areas of artificial intelligence and robotics, issues from cognitive science, mathematics, social sciences, neuroscience, biology, and electronic engineering are of importance for this interdisciplinary area. Among the topics covered are reinforcement learning, Q-learning, robot behavior, state space construction, autonomous robot, mobile robots, neural networks, robot perception, evolutionary learning, evolvable hardware.
Content:
Front Matter....Pages I-VIII
The construction and acquisition of visual categories....Pages 1-12
Q-Learning with Adaptive State Space Construction....Pages 13-28
Modular Reinforcement Learning: An Application to a Real Robot Task....Pages 29-45
Analysis and Design of Robot’s Behavior: Towards a Methodology....Pages 46-61
Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments....Pages 62-78
Transmitting Communication Skills Through Imitation in Autonomous Robots....Pages 79-94
Continual Robot Learning with Constructive Neural Networks....Pages 95-108
Robot Learning and Self-Sufficiency: What the energy-level can tell us about a robot’s performance....Pages 109-125
Perceptual grounding in robots....Pages 126-141
A Learning Mobile Robot: Theory, Simulation and Practice....Pages 142-154
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition....Pages 155-172
Robot Learning using Gate-Level Evolvable Hardware....Pages 173-188
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