Published multiple refereed conference and journal papers such as 'Learning to Optimize in Model Predictive Control' (ICRA-2022); Honored with several awards for his work.
Research Experience
Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science and Engineering (CSE) at the University of Washington, where he directs the UW Robot Learning Laboratory; Principal Research Scientist in the Seattle Robotics Lab at NVIDIA Research; Co-chair of the IEEE Robotics and Automation Society Technical Committee on Robot Learning.
Education
Ph.D. from the Machine Learning Department in the School of Computer Science at Carnegie Mellon University, advised by Geoff Gordon; Post-doc in the Robotics and State Estimation Lab directed by Dieter Fox at the University of Washington.
Background
Researcher in machine learning, artificial intelligence, and robotics, focusing on developing theories and systems that tightly integrate perception, learning, and control. His work touches on a range of problems including computer vision, state estimation, localization and mapping, high-speed navigation, motion planning, and robotic manipulation.