4 papers
From Local Corrections to Generalized Skills: Improving Neuro-Symbolic Policies with MEMO
Benjamin A. Christie, Yinlong Dai, Mohammad Bararjanianbahnamiri +2
Recent works use a neuro-symbolic framework for general manipulation policies. The advantage of this framework is that -- by applying off-the-shelf vision and language models -- th…
Language Movement Primitives: Grounding Language Models in Robot Motion
Yinlong Dai, Benjamin A. Christie, Daniel J. Evans +2
Enabling robots to perform novel manipulation tasks from natural language instructions remains a fundamental challenge in robotics, despite significant progress in generalized prob…
CIVIL: Causal and Intuitive Visual Imitation Learning
Yinlong Dai, Robert Ramirez Sanchez, Ryan Jeronimus +4
Today's robots attempt to learn new tasks by imitating human examples. These robots watch the human complete the task, and then try to match the actions taken by the human expert.…
Prepare Before You Act: Learning From Humans to Rearrange Initial States
Yinlong Dai, Andre Keyser, Dylan P. Losey
Imitation learning (IL) has proven effective across a wide range of manipulation tasks. However, IL policies often struggle when faced with out-of-distribution observations; for in…