Thank you for your visit! I am currently an Assistant Professor at Arizona State University (ASU) in the CS department of the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) where I direct the REACT Lab (Robotics, Embedded Autonomy, and Communication Theory Lab). Previously, I was in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT. My goal is to develop and use technologies for improving robot-robot and human-robot teamwork. The key to effective teamwork is communication. So my research looks at ways that use wireless signals to improve communication in multi-robot teams and most recently, brain signals to improve communication in human-robot teams. I’m interested in applications of my technologies to positioning systems indoors, human-robot collaboration, and making robot-robot teams robust and secure against cybersecurity threats.
One of my current efforts is on developing an indoor positioning technology that uses Wi-Fi to provide accurate (sub-meter) position estimates of devices indoors. We believe that this could have an impact on healthcare, university campuses, and transportation where we can start to re-define the indoor space. Think of the ability to do a “Google search” for physical objects.
The focus of my dissertation work has been problems related to communication for multi-agent systems. In particular, we study how to position mobile routers such that they can provide communication coverage for clients, where these clients can be vehicles, robots, or people. Real world solutions for this problem requires realistic communication modeling, big data analysis for large networks, and application of optimization tools (both centralized and distributed) for achieving networks with desired performance guarantees. Separately, I have worked in the areas of hybrid model learning, energy harvesting, and have been a part of several NASA projects including Solar Sails and the Mars Exploration Rovers.
Our REACT Lab (Robotics, Embedded Autonomy, and Communication Theory Lab) group photo:
Our REACT Lab heterogeneous air/ground testbed where we do fast algorithm prototyping and testing for multi-robot decision making and control:
Our students learn to control robots, track them using our new motion capture lab, and program them to work collaboratively using communication as a sensor for intelligent decision-making.
We are always looking for talented and motivated PhD, M.S., and B.S. students to join our team. Email firstname.lastname@example.org with your CV and list of relevant current and past projects!
- I am currently completing a visiting assistant professorship at Stanford University with Oussama Khatib for summer 2019
- I have been granted the NSF CAREER 2019 award for my work in multi-robot coordination and distributed decision making
- REACT Lab presents new work on sequential decision making for POMDP at the MIT Learning for Decision and Control workshop in May 2019
- Our paper “Switching Topology for Resilient Consensus using Wi-Fi Signals” gets accepted to ICRA 2019!
- Our paper “Resilient Multi-Agent Consensus Using Wi-Fi Signals” gets accepted to IEEE Control Systems Letters (L-CSS) 2018!
- Our paper “Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection” gets accepted to RSS 2018!