From the 1 of 5 linked papers with an AI index.
5 papers
Cross-Embodiment Transfer via Behavior-Aligned Representations
Ajay Sridhar, Jensen Gao, Jonathan Yang +3
The paper investigates how behavior-aligned representations such as object bounding boxes, language-described motions, and end-effector traces can improve cross-embodiment transfer…
DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?
Jadelynn Dao, Milan Ganai, Yasmina Abukhadra +7
Vision-Language Models (VLMs) are increasingly deployed as high-level planners for embodied agents, with an emerging strategy of scaling test-time compute to improve capability. Ho…
MemER: Scaling Up Memory for Robot Control via Experience Retrieval
Ajay Sridhar, Jennifer Pan, Satvik Sharma +1
Humans routinely rely on memory to perform tasks, yet most robot policies lack this capability; our goal is to endow robot policies with the same ability. Naively conditioning on l…
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation
Noriaki Hirose, Dhruv Shah, Kyle Stachowicz +2
Autonomous self-improving robots that interact and improve with experience are key to the real-world deployment of robotic systems. In this paper, we propose an online learning met…
LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos
Noriaki Hirose, Catherine Glossop, Ajay Sridhar +3
The world is filled with a wide variety of objects. For robots to be useful, they need the ability to find arbitrary objects described by people. In this paper, we present LeLaN(Le…