I am a Research Scientist at Facebook AI Research (FAIR) in Pittsburgh. Prior to joining FAIR, I received a Ph.D. in Robotics from Georgia Tech where I was advised by Byron Boots and was part of the Institute for Robotics and Intelligent MachinesDuring my Ph.D. I interned at NVIDIA ResearchAmazon Robotics, and Honda Research Institute.

I work at the intersection of robotics and machine learning and I am broadly interested in bridging the gap between the two, towards making robots move and do useful things. In general my research focuses on topics like motion planning, imitation learning, controls, estimation, and SLAM, with applications ranging from navigation to manipulation.

Email: mukadam DOT mh AT gmail DOT com


[2020/11] Giving an invited talk in Robot Learning Seminar Series at Mila.

[2020/10] Giving an invited talk in IROS 2020 workshop on Geometric Methods for Robot Learning.

[2020/09] Paper accepted in NeurIPS 2020.

[2020/05] Invited paper on RMPflow accepted in T-ASE.

[2020/03] Organizing RSS 2020 workshop on 'Good Citizens of Robotics Research

[2020/03] Organizing RSS 2020 workshop on 'Structured Approaches to Robot Learning'.

[2020/03] Paper accepted in L4DC 2020.

[2020/01] Paper accepted in ICRA 2020.

[2019/09] Two papers accepted in CoRL 2019.

[2019/07] Paper accepted in ISRR 2019.

[2019/07] Successfully defended my Ph.D. thesis!

[2019/06] Paper accepted in IROS 2019.

[2019/06] Our paper on GP motion planning won the 'IJRR Paper of the Year' award! Georgia Tech article here.

[2019/05] I will be joining Facebook AI Research (FAIR) as a Research Scientist this fall.

[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 in ICRA 2019.