RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning
Published in arXiv preprint, 2026
A framework that validates synthetic robot training data quality through simulation comparison, leveraging image editing and video transfer to enhance observational and appearance diversity.
Recommended citation: Seungku Kim, Suhyeok Jang, Byungjun Yoon, Dongyoung Kim, John Won, and Jinwoo Shin. (2026). "RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning." arXiv preprint arXiv:2602.18742.
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