Belief Space Planning under Approximate Hybrid Dynamics


The difficulty of many robot controls tasks stems from stochasticity and partial observability coupled with highly nonlinear dynamics. We propose to approximate nonlinear system dynamics using hybrid dynamics models and extend the POMDP framework to hybrid systems. To do this, we introduce a Bayesian inference based hybrid state evolution model that can be… (More)


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