Harish Ravichandar

Harish Ravichandar is an Assistant Professor at the School of Interactive Computing, Georgia Institute of Technology, and a core faculty member of the Institute for Robotics and Intelligent Machines (IRIM). He leads the Structured Techniques for Algorithmic Robotics (STAR) Lab, focusing on structured computational frameworks and learning algorithms with inductive biases to enhance robot efficiency, reliability, and self-sufficiency in human-robot collaboration and complex applications like dexterous manipulation and multi-agent coordination.

His research bridges robot learning, human-robot interaction, and multi-agent systems, emphasizing stable, frugal, and safe skill acquisition from human demonstrations. Key themes include intention inference, trajectory optimization, and heterogeneous team coordination, often leveraging Koopman operators, hypernetworks, and graph-based methods.

Scientific recognition includes the NSF CAREER Award, IEEE MRS Best Paper Award, and Georgia Tech’s College of Computing Outstanding Post-Doctoral Research Award. His work also received the ASME DSCC Best Student Paper Award and P&W Institute Graduate Fellowship.

Harish’s educational background includes a Ph.D. in Electrical and Computer Engineering from the University of Connecticut (2018), an M.S. from the University of Florida (2014), and a B.E. in Instrumentation and Control Engineering from Anna University (2012). He previously held postdoctoral and research scientist roles at Georgia Tech before his current position.