Control & Planning under Uncertainty


Any real-world system has to operate under uncertainties; the sources of these uncertainties include robot/operator's imperfect knowledge about the state and properties of the systems, control execution errors, and imperfect modeling of the surrounding environment. This research thrust advances the fundamental theories and tools for control and planning of dynamic systems under uncertainty.

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