17 citations · 18 across the 5 of their papers we have counts for
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cs.RO2021
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
Glen Chou, Hao Wang, Dmitry Berenson
We propose a method for learning constraints represented as Gaussian processes (GPs) from locally-optimal demonstrations. Our approach uses the Karush-Kuhn-Tucker (KKT) optimality…
cs.LG2021★ 1 cited
STRODE: Stochastic Boundary Ordinary Differential Equation
Hengguan Huang, Hongfu Liu, Hao Wang +2
Perception of time from sequentially acquired sensory inputs is rooted in everyday behaviors of individual organisms. Yet, most algorithms for time-series modeling fail to learn dy…