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
Feb 15, 2024 New paper accepted to PNAS Nexus
Dec 11, 2023 Zixin Zhang joins the lab
Sep 30, 2023 New IROS paper on automatic gait generation for soft quadrupeds
May 25, 2023 Ola defends Ph.D. thesis
May 3, 2023 New review paper on embodied communication out at Annual Review of Control, Robotics, and Autonomous Systems
Jan 3, 2023 Ayush Gaggar joins the lab
October 2, 2022 New emergent communication paper out at Annual Meeting of the Cognitive Science Society
September 25, 2022 New point set registration paper out at International Symposium of Robotics Research
June 20, 2022 New embodied active learning paper out on Nature Communications
June 2, 2022 New hybrid reinforcement learning paper out on IJRR
May 24, 2022 Tommy received 2022 Northwestern University Presidential Fellowship
January 13, 2022 Taosha defends Ph.D. thesis
December 23, 2021 New paper on memristor circuits for microrobotics
October 7, 2021 New Nature paper on mechanical computing
September 21, 2021 Jonathan Bosnich joins the lab
Recent Papers
Collaborative Robots Can Augment Human Cognition in Regret-Sensitive Tasks
M. Schlafly, A. Prabhakar, K. Popovic, G. Schlafly, C. Kim, T. D. Murphey
PNAS Nexus (Volume 3, Issue 2), 2024. PDF
Automated Gait Generation For Walking, Soft Robotic Quadrupeds
J. Ketchum, S. Schiffer, M. Sun, P. Kaarthik, R. L. Truby, T. D. Murphey
IEEE International Conference on Intelligent Robots and Systems (IROS), 2023. PDF
Embodied Communication: How Robots and People Communicate Through Physical Interaction
A. Kalinowska, P. M. Pilarski, T. D. Murphey
Annual Review of Control, Robotics, and Autonomous Systems, 2023. PDF
Scale-Invariant Specifications for Human-Swarm Systems
J. Meyer, A. Prabhakar, A. Pinosky, I. Abraham, A. Taylor, M. Schlafly, K. Popovic, G. Diniz, B. Teich, B. Simidchieva, S. Clark, T. D. Murphey
Journal of Field Robotics (JFR), 2022. PDF
Towards situated communication in multi-step interactions: Time is a key pressure in communication emergence
A. Kalinowska, E. Davoodi, K. W. Mathewson, T. D. Murphey, P. Pilarski
Annual Meeting of the Cognitive Science Society (CogSci), 2022. PDF
Mechanical Intelligence For Learning Embodied Sensor-Object Relationships
A. Prabhakar, T. D. Murphey
Nature Communications, 2022. PDF, Code