Results 231 to 240 of about 42,816 (266)
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The Knowledge Engineering Review, 1996
The definitions above, separated by ten years, represent two very different conceptions of learning. For Simon learning depends on an internal change in representation, and for Kaelbling it is instead measured in terms of an external change in behaviour.
Henry Hexmoor, Lisa Meeden
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The definitions above, separated by ten years, represent two very different conceptions of learning. For Simon learning depends on an internal change in representation, and for Kaelbling it is instead measured in terms of an external change in behaviour.
Henry Hexmoor, Lisa Meeden
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2012
Learning robots that can acquire new motor skills and refine existing ones have been a long standing vision of robotics, artificial intelligence, and the cognitive sciences. Early steps towards this goal in the 1980s made clear that reasoning and human insights will not suffice.
Jan Peters 0001 +4 more
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Learning robots that can acquire new motor skills and refine existing ones have been a long standing vision of robotics, artificial intelligence, and the cognitive sciences. Early steps towards this goal in the 1980s made clear that reasoning and human insights will not suffice.
Jan Peters 0001 +4 more
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On reinforcement learning for robots
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96, 2002In the paper the author considers: what reinforcement learning is; what makes reinforcement learning difficult; biasing reinforcement learning; and integrating reinforcement learning into agent architectures.
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1989
Publisher Summary This chapter reviews two robots that can learn how the world behaves in, and improves their own performance over time based on the information gathered. The underlying architecture of such robots would be of the abstract agent variety and implemented in CommonLisp.
Matthew T. Mason +2 more
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Publisher Summary This chapter reviews two robots that can learn how the world behaves in, and improves their own performance over time based on the information gathered. The underlying architecture of such robots would be of the abstract agent variety and implemented in CommonLisp.
Matthew T. Mason +2 more
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Robot learning by nonparametric regression
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94), 1995We present an approach to robot learning based on a nonparametric regression technique, locally weighted regression. The model of the task to be performed is represented by infinitely many local linear models, i.e., the (hyper-) tangent planes at every query point. Such a model, however, is only generated when a query performed and is not retained. The
Stefan Schaal, Christopher G. Atkeson
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Learning and Adaptation in Robotics
2001Intelligent systems are required in knowledge engineering, computer science, mechatronics and robotics. This paper discusses the machine (system) intelligence from the viewpoints of learning and adaptation of living things. Next, this paper introduces computational intelligence including neural network, fuzzy system, and genetic algorithm.
Toshio Fukuda, Yasuhisa Hasegawa
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Robotics and Autonomous Systems, 1991
Toward learning robots learning reliable manipulation strategies without initial physical models learning by an autonomous agent in the pushing domain a robot and mapping strategy based on a semantic hierarchy of spatial representations understanding object motion - recognition, learning and spatiotemporal reasoning learning how to plan robo-soar - an ...
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Toward learning robots learning reliable manipulation strategies without initial physical models learning by an autonomous agent in the pushing domain a robot and mapping strategy based on a semantic hierarchy of spatial representations understanding object motion - recognition, learning and spatiotemporal reasoning learning how to plan robo-soar - an ...
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Robots for Learning - R4L: Adaptive Learning
2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019The Robots for Learning workshop series aims at advancing the research topics related to the use of social robots in educational contexts. This year's half-day workshop follows on previous events in Human-Robot Interaction conferences focusing on efforts to design, develop and test new robotics systems that help learners.
Wafa Johal +4 more
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ACM SIGART Bulletin, 1977
A model of robot perception learning is described that duplicates aspects of observed animal performance. The designer incorporates in the model abstract knowledge about the possible observable consequences of actions in the robot's world. In this way the robot can predict an outcome and can compare the expectation with the actual experience. The robot'
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A model of robot perception learning is described that duplicates aspects of observed animal performance. The designer incorporates in the model abstract knowledge about the possible observable consequences of actions in the robot's world. In this way the robot can predict an outcome and can compare the expectation with the actual experience. The robot'
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MANIFOLD LEARNING FOR ROBOT NAVIGATION
International Journal of Neural Systems, 2006In this paper we introduce methods to build a SOM that can be used as an isometric map for mobile robots. That is, given a dataset of sensor readings collected at points uniformly distributed with respect to the ground, we wish to build a SOM whose neurons (prototype vectors in sensor space) correspond to points uniformly distributed on the ground ...
Keeratipranon, Narongdech +2 more
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