Who I am:
What I do:
I spend most of my time trying to trick people into thinking robots are smart. To aid this illusion, I study the areas of robot learning, human-robot interaction, and intelligent systems. I aim to build collaborative systems that can learn in, and adapt to, dynamic and unstructured environments, while leveraging their interactions with humans. Recently, I have been trying to develop methods that enable large teams of heterogeneous agents to learn from and collaborate with humans in order to solve complex tasks that require coordination.
You can check out a list of my publications here.
Fall 2019: I am teaching Georgia Tech’s CS 3630: Introduction to Robotics and Perception (syllabus).
I received my Ph.D. from the University of Connecticut (UConn) in 2018, where I worked with Ashwin Dani and was a Graduate Fellow of the UTC Institute for 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 during close-proximity physical collaboration. 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.
- Our paper on a framework for geometrically-consistent learning and combination of sub-task policies is accepted for presentation at the Conference on Robot Learning (CoRL) 2019.
- 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).