107 citations · 220 across the 9 of their papers we have counts for
7 papers · 1 filter
YOR: Your Own Mobile Manipulator for Generalizable Robotics
Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar +11
Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, combined with the com…
Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models
Zichen Jeff Cui, Omar Rayyan, Haritheja Etukuru +16
The prevalent paradigm in robot learning attempts to generalize across environments, embodiments, and tasks with language prompts at runtime. A fundamental tension limits this appr…
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
Haritheja Etukuru, Norihito Naka, Zijin Hu +7
Robot models, particularly those trained with large amounts of data, have recently shown a plethora of real-world manipulation and navigation capabilities. Several independent effo…
On Bringing Robots Home
Nur Muhammad Mahi Shafiullah, Anant Rai, Haritheja Etukuru +4
Throughout history, we have successfully integrated various machines into our homes. Dishwashers, laundry machines, stand mixers, and robot vacuums are a few recent examples. Howev…
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
Zichen Jeff Cui, Yibin Wang, Nur Muhammad Mahi Shafiullah +1
While large-scale sequence modeling from offline data has led to impressive performance gains in natural language and image generation, directly translating such ideas to robotics…
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
Nur Muhammad Mahi Shafiullah, Chris Paxton, Lerrel Pinto +2
We propose CLIP-Fields, an implicit scene model that can be used for a variety of tasks, such as segmentation, instance identification, semantic search over space, and view localiz…
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam +1
While visual imitation learning offers one of the most effective ways of learning from visual demonstrations, generalizing from them requires either hundreds of diverse demonstrati…