2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.RO2025★ 2 cited
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
TRI LBM Team, Jose Barreiros, Andrew Beaulieu +79
Robot manipulation has seen tremendous progress in recent years, with imitation learning policies enabling successful performance of dexterous and hard-to-model tasks. Concurrently…
cs.RO2017
Planning and Resilient Execution of Policies For Manipulation in Contact with Actuation Uncertainty
Calder Phillips-Grafflin, Dmitry Berenson
We propose a method for planning motion for robots with actuation uncertainty that incorporates contact with the environment and the compliance of the robot to reliably perform man…