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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 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.

News

November 7, 2019 New Lab Member

November 7, 2019 Taosha Wins Best Paper at IROS 2019

September 18, 2019 "A robot made of robots..." published in Science Robotics

August 22, 2019 MURI Meeting on Algorithmic Matter and Emergent Behavior

June 22, 2019 Giorgos presents at RSS

May 20, 2019 DARPA award recieved

April 17, 2019 "Ergodicity reveals assistance and learning..." published in Science Robotics

April 12, 2019 MURI award

April 10, 2019 Todd Murphey appointed to Air Force Scientific Advisory Board

January 9, 2019 Ola's Masters Thesis Defense and PhD Prospectus

December 9, 2018 Ian, Taosha, and Ana present at WAFR

September 27, 2018 New Lab Members

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