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Kelin Yu

2 accepted papers

2025

GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning

ICCV 2025poster

Recent advances have shown that video generation models can enhance robot learning by deriving effective robot actions through inverse dynamics. However, these methods heavily depend on the quality of generated data and struggle with fine-grained manipulation due to the lack of environment feedback.…

2024

MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation

CoRL 2024poster

Tactile sensing is critical to fine-grained, contact-rich manipulation tasks, such as insertion and assembly. Prior research has shown the possibility of learning tactile-guided policy from teleoperated demonstration data. However, to provide the demonstration, human users often rely on visual feedb…

Cited by 16SourceScholar