3 citations · 5 across the 8 of their papers we have counts for
6 papers · 1 filter
ViPRA: Video Prediction for Robot Actions
Sandeep Routray, Hengkai Pan, Unnat Jain +2
Can we turn a video prediction model into a robot policy? Videos, including those of humans or teleoperated robots, capture rich physical interactions. However, most of them lack l…
LocoFormer: Generalist Locomotion via Long-context Adaptation
Min Liu, Deepak Pathak, Ananye Agarwal
Modern locomotion controllers are manually tuned for specific embodiments. We present LocoFormer, a generalist omni-bodied locomotion model that can control previously unseen legge…
Towards Embodiment Scaling Laws in Robot Locomotion
Bo Ai, Liu Dai, Nico Bohlinger +7
Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
Xingyu Liu, Deepak Pathak, Ding Zhao
We investigate the problem of transferring an expert policy from a source robot to multiple different robots. To solve this problem, we propose a method named - that…
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play
Lili Chen, Shikhar Bahl, Deepak Pathak
Learning from unstructured and uncurated data has become the dominant paradigm for generative approaches in language and vision. Such unstructured and unguided behavior data, commo…
DEFT: Dexterous Fine-Tuning for Real-World Hand Policies
Aditya Kannan, Kenneth Shaw, Shikhar Bahl +2
Dexterity is often seen as a cornerstone of complex manipulation. Humans are able to perform a host of skills with their hands, from making food to operating tools. In this paper,…