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.
Prof. Hayes helped to organize and run the AAAI Fall Symposium on Human-Agent Groups, which took place November 9-11 in Arlington, VA.
Prof. Hayes delivered seminar talks on Explainable AI for collaborative robots at Yale University on November 2nd and Brown University on November 8th.
Prof. Hayes delivered a keynote at the IROS 2017 HRI in Collaborative Manufacturing Environments workshop in Vancouver, Canada.
Prof. Hayes led a 4 hour tutorial on Interactive Machine Learning at the 3rd Summer School on Social Human-Robot Interaction in Vila Nova de Milfontes, Portugal.