2 citations · 3 across the 2 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.RO2022★ 1 cited
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels
Charles Richter, Patrick R. Barragán, Sertac Karaman
We present a unified probabilistic model that learns a representative set of discrete vehicle actions and predicts the probability of each action given a particular scenario. Our m…