22 citations · 34 across the 10 of their papers we have counts for
3 papers · 1 filter
Discretizing Dynamics for Maximum Likelihood Constraint Inference
Kaylene C. Stocking, David L. McPherson, Robert P. Matthew +1
Maximum likelihood constraint inference is a powerful technique for identifying unmodeled constraints that affect the behavior of a demonstrator acting under a known objective func…
Learning Visual-Audio Representations for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, D. Livingston McPherson +1
Based on the recent advancements in representation learning, we propose a novel pipeline for task-oriented voice-controlled robots with raw sensor inputs. Previous methods rely on…
Maximum Likelihood Constraint Inference from Stochastic Demonstrations
David L. McPherson, Kaylene C. Stocking, S. Shankar Sastry
When an expert operates a perilous dynamic system, ideal constraint information is tacitly contained in their demonstrated trajectories and controls. The likelihood of these demons…