130 citations · 339 across the 23 of their papers we have counts for
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cs.RO2020★ 2 cited
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
Constantinos Chamzas, Zachary Kingston, Carlos Quintero-Peña +2
Earlier work has shown that reusing experience from prior motion planning problems can improve the efficiency of similar, future motion planning queries. However, for robots with m…
cs.LO2020★ 18 cited
LTLf Synthesis on Probabilistic Systems
Andrew M. Wells, Morteza Lahijanian, Lydia E. Kavraki +1
Many systems are naturally modeled as Markov Decision Processes (MDPs), combining probabilities and strategic actions. Given a model of a system as an MDP and some logical specific…