Autonomous robots face many complexities in the real world, in particular: uncertainty about the effects of their actions, large numbers of potential state features and coexistence with multiple cooperative and potentially adversarial robots. In these complex tasks, it is impossible to sufficiently model and identify all the relevant world features necessary for effective goal achievement beforehand. Instead, autonomous robots must discover this knowledge themselves as they interact with their environment.
Displaying 2 Publications
2005
Journal Article, Industrial Robot, Vol. 32, No. 2, pp. 149 - 156, April, 2005
2004
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol. 1, pp. 1029 - 1034, September, 2004
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- Tucker Balch
- Michael Bowling
- Brett Browning
- James Bruce
- Sonia Chernova
- Scott Lenser
- Paul Rybski
- Rande Shern
- Douglas Vail