Who I am:
What I do:
My research interests span the areas of robot learning, human-robot interaction, and intelligent systems. I work toward building collaborative systems that can learn in, and adapt to, dynamic and unstructured environments, while leveraging their interactions with humans. As part of the DCIST project, I am currently working on methods that enable large teams of heterogeneous agents to collaborate with humans in order to solve complex tasks that require intricate coordination.
You can check out a list of my publications here.
I received my Ph.D. from the University of Connecticut (UConn) in 2018, where I worked with Ashwin Dani. I was also a Graduate Fellow of the UTC Institute of Advanced Systems Engineering (UTC-IASE). As part of my dissertation, I developed computational methods for (i) learning robot movement primitives from demonstrations with strong theoretical guarantees, and (ii) probabilistic inference of the intentions of human partners in collaborative tasks. I received my M.S. from the Department of Electrical and Computer Engineering at the University of Florida, and my B.E. in Instrumentation and Control Engineering from Anna University, Chennai, India.
- I will be teaching CS 3630: Introduction to Robotics and Perception at Georgia Tech (Fall 2019, syllabus).
- We won the FetchIt! mobile manipulation challenge at ICRA (May 2019). [link]
- Traveling to ICRA to present our paper on multi-coordinate cost balancing for learning from demonstration (May 2019). [link]
- I received the college of computing’s Outstanding Post-Doctoral Research Award at Georgia Tech (April 2019).
- I will be in Austin, TX. during Jan 15-18, 2019, to present our recent work on multi-agent task assignment at the Army Science Planning and Strategy Meeting.
- I received the Best Presentation from the College of Computing award at the Georgia Tech Postdoctoral Research Symposium (September 2018). [link]
- Our paper on human-intention-driven robot control has been accepted for oral presentation at the 2018 IFAC Conference on Cyber-Physical & Human Systems (CPHS). [link]
- Our article on learning pose dynamics from demonstrations was accepted for publication in Autonomous Robots. [link]
- Our article on Bayesian human intention inference was accepted for publication in the International Journal of Intelligent Robotics and Applications (IJIRA). [link]
- I gave a talk about our work on human-robot collaboration at Google Brain, NYC (February 2018).