Interactive & Emergent Autonomy Lab

Members of the lab at the Robotics Science and Systems (RSS) Conference in Freiburg, Germany. June 2019.
Members of the lab celebrating a birthday! June 2019.
Katie Fitzsimons demonstrating human-robot interaction at the Museum of Science and Industry
Katie showing a robot to children at the Museum of Science and Industry. April 2019.
Rab demonstrating her experiment at the Museum of Science and Industry. April 2019.
National Robotics Week at the Museum of Science and Industry. April 2019.
Ola showing off the Nao robot at the Museum of Science and Industry. April 2019.
Members of the lab at the Workshop on Algorithmic Robotics (WAFR) Conference in Merida, Mexico. December 2018.


In the Interactive and Emergent Autonomy Lab, our research focuses on computational methods in data-driven control, information theory in physical systems, and embodied intelligence. We investigate how both autonomous systems and biological systems interact with their environments (and, in some cases, with each other) to learn and improve their behaviors. This work often involves mathematical modeling, development of new mathematical tools, algorithmic implementation and programming, and experimentation.

Recent Papers

Ergodic imitation: Learning from what to do and what not to do
A. Kalinowska, A. Prabhakar, K. Fitzsimons, T. D. Murphey
IEEE Int. Conf. on Robotics and Automation (ICRA), 2021. PDF

Low Rattling: A Predictive Principle for Self-Organization in Active Collectives
P. Chvykov, T. A. Berrueta, A. Vardhan, W. Savoie, A. Samland, T. D. Murphey, K. Wiesenfeld, D. I. Goldman, and J. L. England
Science, vol. 371, no. 6524, 2021. Article

Algorithmic Design for Embodied Intelligence in Synthetic Cells
A. Pervan and T. D. Murphey
IEEE Transactions on Automation Science and Engineering (T-ASE), 2020. PDF

Ergodic Specifications for Flexible Swarm Control: From User Commands to Persistent Adaptation
A. Prabhakar, I. Abraham, A. Taylor, M. Schlafly, K. Popovic, G. Diniz, B. Teich, B. Simidchieva, S. Clark, T. D. Murphey
Robotics Science and Systems, 2020. PDF Video

Tuning movement for sensing in an uncertain world
C. Chen, T. D Murphey, M. A MacIver
eLife, e52371, 2020. Article