I am a Ph.D. student in Robotics at Georgia Tech being advised by Byron Boots and a member of the Institute for Robotics and Intelligent MachinesI also collaborate with Frank Dellaert and Sonia Chernova at Georgia Tech, and Nathan Ratliff and Dieter Fox at NVIDIA Research. Prior to joining Georgia Tech, I received a M.S. in Aerospace Engineering from the University of Illinois at Urbana Champaign.

My research primarily focuses on motion planning, learning from demonstration, and estimation, often employing probabilistic and machine learning tools, for autonomous navigation and mobile manipulation. During my Ph.D. I have interned at NVIDIA ResearchAmazon Robotics, and Honda Research Institute.


2019/06 - Paper accepted to IROS 2019 in Macau.

2019/06 - Our paper on GP motion planning won the 'IJRR Paper of the Year' award!

2019/05 - Patent on Autonomous Vehicle Policy Generation published.

2019/01 - Our work on RMPflow was featured on NVIDIA's Blog and GeekWire.

2019/01 - Paper accepted to ICRA 2019 in Montreal, Canada.

2018/10 - Passed my thesis proposal!

2018/09 - Paper accepted to WAFR 2018 in Merida, Mexico.

2018/08 - Organizing a Workshop on Imitation Learning and its Challenges in Robotics at NeurIPS 2018.

2018/06 - Paper accepted to IROS 2018 in Madrid, Spain.

2018/06 - Papers accepted to AuRo and IJRR.

2018/03 - Organizing a Workshop on Learning and Inference in Robotics at RSS 2018.

2018/03 - Our work on CLAMP is featured in Georgia Tech's ML blog.

2018/01 - Paper accepted to ICRA 2018 in Brisbane, Australia.

2017/12 - Will be interning at NVIDIA (Seattle) during Summer 2018.

2017/09 - Paper on CLAMP accepted to the 1st CoRL conference as a plenary presentation.

2017/08 - Interning at Amazon Robotics (Boston) during Fall 2017.

2017/07 - Presenting paper on STEAP at RSS 2017 in Boston. Open-source code released here.