70 citations · 269 across the 38 of their papers we have counts for
3 papers · 1 filter
Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions
Chris Paxton, Felix Jonathan, Marin Kobilarov +1
We propose a learning-from-demonstration approach for grounding actions from expert data and an algorithm for using these actions to perform a task in new environments. Our approac…
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision
Chris Paxton, Andrew Hundt, Felix Jonathan +2
For collaborative robots to become useful, end users who are not robotics experts must be able to instruct them to perform a variety of tasks. With this goal in mind, we developed…
Towards Robot Task Planning From Probabilistic Models of Human Skills
Chris Paxton, Marin Kobilarov, Gregory D. Hager
We describe an algorithm for motion planning based on expert demonstrations of a skill. In order to teach robots to perform complex object manipulation tasks that can generalize ro…