Regions of Inaccurate Modeling for Robot Anomaly Detection and Model Correction
To make intelligent decisions, robots often use models of the stochastic effects of their actions on the world. Unfortunately, in complex environments, it is often infeasible to create models that are accurate in every plausible situation, which can lead to suboptimal performance. This thesis enable...
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| Format: | Others |
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Research Showcase @ CMU
2017
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| Online Access: | http://repository.cmu.edu/dissertations/1059 http://repository.cmu.edu/cgi/viewcontent.cgi?article=2098&context=dissertations |