3 papers
cs.CV2026
EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
Ryan Hoque, Peide Huang, David J. Yoon +2
Imitation learning for manipulation has a well-known data scarcity problem. Unlike natural language and 2D computer vision, there is no Internet-scale corpus of data for dexterous…
cs.RO2025
Humanoid Policy ~ Human Policy
Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng +12
Training manipulation policies for humanoid robots with diverse data enhances their robustness and generalization across tasks and platforms. However, learning solely from robot de…
cs.RO2024
ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition
Nataliya Nechyporenko, Ryan Hoque, Christopher Webb +2
Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a physical robot? We present a system for augm…