4 citations · 7 across the 3 of their papers we have counts for
3 papers · 1 filter
Evaluating Continual Learning on a Home Robot
Sam Powers, Abhinav Gupta, Chris Paxton
Robots in home environments need to be able to learn new skills continuously as data becomes available, becoming ever more capable over time while using as little real-world data a…
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…