Learning reliable manipulation strategies without initial physical models

A.D. Christiansen, Matthew T. Mason, and Tom Mitchell
IEEE International Conference on Robotics and Automation, May, 1990, pp. 1224 - 1230.


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Abstract
A description is given of a robot, possessing limited sensory and effectory capabilities but no initial model of the effects of its actions on the world, that acquires such a model through exploration, practice, and observation. By acquiring an increasingly correct model of its actions, it generates increasingly successful plans to achieve its goals. In an apparently nondeterministic world, achieving reliability requires the identification of reliable actions and a preference for using such actions. Furthermore, by selecting its training actions carefully, the robot can significantly improve its learning rate.

Notes
Associated Center(s) / Consortia: Center for the Foundations of Robotics
Associated Lab(s) / Group(s): Manipulation Lab

Text Reference
A.D. Christiansen, Matthew T. Mason, and Tom Mitchell, "Learning reliable manipulation strategies without initial physical models," IEEE International Conference on Robotics and Automation, May, 1990, pp. 1224 - 1230.

BibTeX Reference
@inproceedings{Mason_1990_3635,
   author = "A.D. Christiansen and Matthew T. Mason and Tom Mitchell",
   title = "Learning reliable manipulation strategies without initial physical models",
   booktitle = "IEEE International Conference on Robotics and Automation",
   pages = "1224 - 1230",
   month = "May",
   year = "1990",
   volume = "2",
}