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cs.RO2026

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…

cs.RO2026

VIA: Visual Interface Agent for Robot Control

Hengyuan Hu, Priya Sundaresan, Jensen Gao +1

The paper introduces VIA, a framework that lets a pre‑trained foundation model control a robot by interacting with a browser‑based 3D visual interface, achieving high zero‑shot suc…

cs.RO2026

A Taxonomy for Evaluating Generalist Robot Manipulation Policies

Jensen Gao, Suneel Belkhale, Sudeep Dasari +3

Machine learning for robot manipulation promises to unlock generalization to novel tasks and environments. But how should we measure the progress of these policies towards generali…

cs.RO2025

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Alexander Khazatsky, Karl Pertsch, Suraj Nair +98

The creation of large, diverse, high-quality robot manipulation datasets is an important stepping stone on the path toward more capable and robust robotic manipulation policies. Ho…

cs.RO2024

Efficient Data Collection for Robotic Manipulation via Compositional Generalization

Jensen Gao, Annie Xie, Ted Xiao +2

Data collection has become an increasingly important problem in robotic manipulation, yet there still lacks much understanding of how to effectively collect data to facilitate broa…