Thank you for your visit! I joined the School of Engineering and Applied Sciences (SEAS) as as Assistant Professor at Harvard University starting July 1, 2020.
Previously, I was 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). I was in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT where I completed my dissertation work. My goal is to develop and use technologies for improving robot-robot and human-robot teamwork. The key to effective coordination is information exchange. So my research looks at ways that use wireless signals to improve communication in multi-robot teams, enhance situational awareness, and secure core multi-agent algorithms. My work has also studied the potential of using brain signals for information exchange in human-robot teams. I am interested in applications of my research to positioning systems indoors, human-robot collaboration, and making robot-robot teams robust and secure against cybersecurity threats.Most generally, my work centers around trust and coordination in multi-robot systems. I have been granted an NSF CAREER award (2019) and have been selected as a 2020 Sloan Research Fellow. I have also held a Visiting Assistant Professorship at Stanford University (2019) where I was working with the Stanford Robotics Lab. Please see links to our work that has been reviewed in MIT News, as well as several other news outlets including Wired and the Forbes!
Our REACT Lab
Robotics, Embedded Autonomy
& Communication Theory Lab
Our REACT Lab Heterogeneous Air/Ground
...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.
Communication As A Sensor
Multi-robot Sequential Decision Making
Resilience in Multi-robot Coordination
Check Us Out on YouTube!
- Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems
- Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand
- Multi-Robot exploration without Explicit Information Exchange
- Multi-Robot Adversarial Resilience using Control Barrier Functions
- Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
- Learning Trust Over Directed Graphs in Multiagent Systems (extended version)