The Robotics Institute

Carnegie Mellon Robotics Institute

My principal research interest is in developing algorithms for learning probabilistic models of robotic domains and using these models for reasoning and planning. Decision-theoretic planning and control deal naturally with the uncertainty and unobservability present in robotic tasks such as mobile robot navigation, but providing the appropriate probabilitic models of the problem domain requires significant human effort. My research aims to produce algorithms for the autonomous acquisition of such models from training data.

Research Interest Keywords

machine learning, mobile robots, planning

The Robotics Institute

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