6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.RO2023
Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains
Janis Eric Freund, Camille Phiquepal, Andreas Orthey +1
Robots often have to operate in discrete partially observable worlds, where the states of world are only observable at runtime. To react to different world states, robots need cont…
cs.RO2023★ 6 cited
Control-Tree Optimization: an approach to MPC under discrete Partial Observability
Camille Phiquepal, Marc Toussaint
This paper presents a new approach to Model Predictive Control for environments where essential, discrete variables are partially observed. Under this assumption, the belief state…