Hi! I am a CS Ph.D. candidate at the University of Washington advised by Dieter Fox and Abhishek Gupta. My research interests are imitation learning and robot manipulation. I’m particularly interested in learning to generate diverse data for robots such that learning from limited data is possible. Prior to my PhD life, I did my master from Electrical Engineering Department at the University of Washington advised by Jenq-Neng Hwang and Imari Sato. I am also fortunate to have interned with many awesome mentors in the past at National Institute of Informatics (Tokyo), Microsoft Research (Redmond), NNAISENSE (Lugano), Nvidia Robotics Lab (Seattle) and Meta robotics lab (Pittsburgh).
In my spare time, I enjoy playing the piano, painting, movies, cooking, hiking, board games, and recently snorkeling :)
URDFormer: Constructing interactive Realistic Scenes from Real Images via Simulation and Generative ModelingIn Preprint, 2023Oral Presentation at CoRL TGR workshop
Genaug: Retargeting behaviors to unseen situations via generative augmentationIn Robotics: Science and Systems (RSS), 2023Best System Paper Finalist
Learning robust real-world dexterous grasping policies via implicit shape augmentationIn Conference on Robot Learning (CoRL), 2022