Hello there!

Hello there!

I am currently an Assistant Professor in the School of Interactive Computing and a core faculty member of the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech.

I direct the Structured Techniques for Algorithmic Robotics (STAR) Lab.


Quick Plugs:

Recruiting: I am looking to recruit both graduate and undergraduate students to work with me on exciting projects in robot learning, human-robot interaction, and multi-agent systems. If you are interested, I request that you take the time to read my research statement and some of my papers to get a sense of my research interests before reaching out to me. You can also view a recent short talk that provides a high-level overview of my work (see below). In your email, please share what specific areas or research questions excite you and why you think we would make a good team!

Teaching: I am teaching a graduate-level course on Multi-Agent Systems (CS 7631) in Fall 2022.

LfD Survey: Our review of recent advances in robot LfD (in collaboration with EPFL) has been published in the Annual Review of Control, Robotics and Autonomous Systems. [eprint]

What I do:

A recent short (~15 mins) talk that provides a very high-level overview of my research. You can also find it here.
P.S.: If you are anything like me, you might like the fact that control the playback speed (three dots on the bottom right).

I spend most of my time trying to trick people (and sometimes myself!) into thinking robots are smart and collaborative. To aid this illusion, I study the areas of robot learning, human-robot interaction, and multi-agent coordination. My research develops algorithmic techniques that help collaborative robots learn to reliably operate in complex environments, while leveraging and enhancing their interactions with humans.

My background:

Before I started as an Assistant Professor in 2021, I worked with with Sonia Chernova as a Postdoctoral Fellow (and later a Research Scientist) at Georgia Tech. 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 in 2014, and my B.E. in Instrumentation and Control Engineering from Anna University, Chennai, India in 2012.

In other news…

    • Our work on simultaneously modeling and answering the four fundamental questions of multi-robot coordination – what (task planning), who (task allocation), when (scheduling), and how (motion planning) – has been accepted for publication in IJRR. Preprint coming soon!
    • Our papers on i) when to seek/avoid risk in coalition formation (preprint), and ii) how to effectively combine task allocation, scheduling, and motion planning (preprint) have been accepted for IROS 2021.
    • I am excited about giving a Cornell Robotics Seminar on Feb 18, 2021.
    • I look forward to giving a talk at the MIT Humans Interacting with Autonomy Workshop on Jan 13, 2021.
    • I am excited to serve as an Associate Editor for ICRA 2021.
    • Our paper on learning hierarchical task networks with preferences is accepted for CoRL, 2020.
    • I am excited about giving an IRIM seminar at Georgia Tech on Oct 14, 2020. 
    • Our paper on trajectory optimization for anticipatory human-robot collaboration is accepted for IROS, 2020.
    • Our paper on incorporating dynamic traits into the coordination of multi-agent systems is accepted for IROS, 2020.
    • Courtesy of Covid-19, I gave my first-ever remote seminar for some folks at University of California, San Diego (April 2020).
    • I received the College of Computing’s Outstanding Research Scientist Award at Georgia Tech (April 2020).
    • Our paper on multi-agent task assignment was accepted for publication in Journal of Autonomous Agents and Multi-Agent Systems (J-AAMAS). [preprint]
    • I will be at the CRA Career Mentoring Workshop in Washington, D.C. during Feb 27-28.
    • 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. [paper]
    • We won the FetchIt! mobile manipulation challenge at ICRA (May 2019). [link]
    • Traveling to Montreal to present our paper on multi-coordinate cost balancing for learning from demonstration at ICRA (May 2019). [paper] [preprint]
    • 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.