I am a senior research scientist at NVIDIA Research and a visiting scholar at Stanford University. I will be starting as an Assistant Professor in the Department of Computer Science at the University of Texas at Austin in Fall 2020. I am also a core faculty member in the Robotics Consortium at UT.

My goal is to build intelligent algorithms for robots and embodied agents that reason about and interact with the real world. My research lies at the intersection of robotics, computer vision, and machine learning. I focus on developing methods and mechanisms of perception and control to achieve general-purpose robot autonomy. I received my Ph.D. from Stanford Computer Science.

Prospective students: please check out the information here.

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Recent News

• I will be serving as an Area Chair for CoRL 2020 and CVPR 2021.

• I gave a talk (video) at Samsung Forum on our latest research work on robot learning and perception.

• We are organizing a workshop on Visual Learning and Reasoning for Robotic Manipulation (virtually) at RSS 2020. We invite submissions of short papers and extended abstracts.

• I will be teaching a new version of CS391R: Robot Learning in the fall semester.

• New blog post of our work on long-horizon planning for robot manipulation! We also released RoboVat, our robot learning framework that unifies simulation and robot control interfaces.