CAIRO-Lab-logo
AI + Human-Robot Interaction Located in the engineering center at CU Boulder, our lab develops techniques at the forefront of robotics and AI to turn autonomous systems into capable teammates that learn from and collaborate with humans, making people more efficient, capable, and safe during task execution.

Welcome to the Collaborative Artificial Intelligence and Robotics Laboratory! Our work focuses on algorithms that enable artificially intelligent agents and robots to safely and effectively collaborate with humans, pushing the boundaries of what is possible through human-machine teaming. With broad applications across manufacturing, disaster response, autonomous vehicles, and space exploration, our research develops novel methods of task planning, motion planning, learning from demonstration, explainable AI, and computational modeling of human behavior.

We are located in the Department of Computer Science / College of Engineering and Applied Science at the University of Colorado Boulder.

If you are interested in learning more about our research, you can find our latest work here. Looking to work with us? Find more information here!

CAIRO Lab is funded by the following organizations:

NSF NASA ARL MDA

Recent News


πŸŽ“ Clare Lohrmann passes her thesis proposal: "Integrating Human Patterning Behavior for Human-Robot Teams"

Dec 11, 2025

πŸ“’ Yi-Shiuan Tung presented his workshop paper on environment generation for preference learning at RSS 2025

Jun 21, 2025

πŸ“‘ Ryan O'Loughlin's work on multiplexed gradient descent for neuromorphic learning in recurrent networks accepted at ICONS 2025!

Jun 12, 2025

πŸ“’ Prof. Hayes gives invited talk titled 'Vulnerability Minimization is Key to Reliability and Trust for User Acceptance of Autonomous Systems' at the HRI 2025 Workshop 'The Road to Reliable Robots: Interpretable, Accessible and Reproducible HRI Research'

Mar 03, 2025

πŸ“’ Prof. Hayes gives invited talk at Google "Making AI Agents That Work Well With Humans: Insights from Human-Robot Interaction"

Feb 06, 2025

πŸ“‘ Carl and Breanne's work on sequential manifold planning using learning from demonstration accepted at HRI 2025!

Dec 01, 2024

πŸ“‘ Christine's work on iterative optimization specification using LLMs to improve human planning accepted at RA-L!

Nov 15, 2024

πŸ“’ Prof. Hayes gives seminar talk at Colorado State University titled "Mixed-Reality Decision Support for Human-Machine Teaming"

Oct 28, 2024

πŸ“’ Prof. Hayes delivers seminar talk to IEEE Pike's Peak Chapter on Safe Human-Robot Teaming

Aug 29, 2024