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.

About

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

A robot made of robots: emergent transport and control of a smarticle ensemble
W. Savoie, T. A. Berrueta, Z. Jackson, A. Pervan, R. Warkentin, S. Li, T. D. Murphey, K. Wiesenfeld, and D. I. Goldman
Science Robotics, vol. 4, no. 34, 2019. Paper

Ergodicity reveals assistance and learning in physical human robot interaction
K. Fitzsimons, A. M. Acosta, J. Dewald, and T. D. Murphey
Science Robotics, vol. 4, no. 29, 2019.
For a video and a freely accessible link to the paper, click here.

Active learning of dynamics for data-driven control using Koopman operators
I. Abraham and T. D. Murphey
IEEE Transactions on Robotics, 2019.

Dynamical system segmentation for information measures in motion
T. Berrueta, A. Pervan, K. Fitzsimons, and T. D. Murphey
IEEE Robotics and Automation Letters, vol. 4, no. 1, pp. 169–176, 2019. PDF