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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

January 01, 2021 Tommy and Alex part of Low rattling: A predictive principle for self-organization in active collectives paper in Science

November 20, 2020 Todd participates in panel on responsibility in AI

November 11, 2020 Katie defends PhD thesis and starts job at Penn State

October 01, 2020 Muchen Sun joins the Murphey Lab

September 25, 2020 Giorgos publishes paper in NeurIPS 2020

September 22, 2020 Paper on animal exploration with Chen Chen and Malcolm MacIver comes out in eLife

September 4, 2020 Tommy defends Masters thesis and completes PhD Prospectus

September 2, 2020 Milli completes PhD Prospectus

August 24, 2020 Ahalya defends PhD thesis

July 31, 2020 IJRR articles come out

July 29, 2020 Ian defends PhD thesis

April 30, 2020 Ola Wins Proposal Pitch Competition

April 24, 2020 Joel Awarded NDSEG Fellowship

April 01, 2020 Lab gets DARPA OFFSET Sprint 5 award

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