Robots that Enhance Human-to-Human Interactions
We explore how robots can enhance human-to-human interactions to improve collaborative team outcomes by promoting inclusion, trust, and cohesion.
We explore how robots can enhance human-to-human interactions to improve collaborative team outcomes by promoting inclusion, trust, and cohesion.
We seek to build computational models that can detect important group dynamics to inform decision-making policies for robot actions.
We are committed to making real world impact. We develop robots that provide personalized one-on-one tutoring help to students.
Sarah received the NSF CAREER award to fund work focused on developing social skills for robots to interact and collaborate with groups of people! You can read more about this exciting award and project in this UChicago CS Department news article.
UChicago's HRI lab participated in the Museum of Science and Industry's annual Robot Block Party this past weekend, where we were able to showcase our robots and talk about human-robot interaction research with the Chicago community. It was fantastic to participate in such a fantastic event with other amazing roboticists in the Chicago area! During the event, our lab members and robots were also featured on local Chicago TV stations NBC Chicago and WGN News.
Our paper A Taxonomy of Robot Autonomy for Human-Robot Interaction (authors: Stephanie Kim, Jacy Reese Anthis, and Sarah Sebo) presented at HRI 2024 by Stephanie Kim was given an honorable mention for best paper!
Stephanie Kim, Spenger Ng, Jacy Anthis, and Sarah Sebo attended the ACM/IEEE International Conference on Human Robot Interaction (HRI 2024) in Boulder Colorado. Stephanie and Spencer both presented their papers: