Stephanie Gil (Photo courtesy of Eliza Grinnell/Harvard SEAS)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!




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

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.



robot images sourced from Adobe Stock

Communication As A Sensor

Image sourced through Adobe Stock images

Multi-robot Sequential Decision Making

Resilience in Multi-robot Coordination


We are always looking for talented and motivated PhD, M.S., and B.S. students to join our team.  Email with your CV and list of relevant current and past projects!


Check Us Out on YouTube!


Recently Invited Talks

Trust in Multi-Robot Systems and Achieving Resilient Coordination
University of Illinois Robotics Seminar, UIUC

April 2022

Situational Awareness and Secure Coordination for Multi-Robot Teams Early Career Spotlight: IEEE Multirobot Systems (MRS)
Cambridge, UK

November 2021

Trust in Multi-Robot Systems and Achieving Resilient Coordination, Plenary: IEEE Colombian Conference on Automatic Control (CCAC)

October 2021

Trust in Multi-Robot Systems and its role in Achieving Resilient Coordination
University of California San Diego (USC) Controls Seminar, UCSD

May 2021

Information Theory Forum at Stanford University

July 2019

Control and Robotics Seminar Series at UC Berkeley

July 2019

Robotics Lunch Colloquium at Stanford University

June 2019

Learning for Decision and Control (poster) at MIT

May 2019

Robotics Colloquium at the University of Washington

April 2019

Blockchain for Robotics MIT Media Lab

December 2018

Presentation of our new L-CSS paper “Resilient Multi-Agent Consensus using Wi-Fi Signals” at CDC

December 2018

CCIS colloquium at Northeastern University

November 2018