Welcome to the Human Interaction and RObotics [HIRO] Group!! Our work lies at the intersection of research in human-robot interaction, artificial intelligence and robot control & planning with the goal of developing robot technologies that enable close, natural, and extended cooperation with humans.
We are on the cusp of a fundamental revolution in how robotics at large will be consumed by and assimilated into our everyday life. In the next decades, state of the art robot platforms will become easier to deploy, more accessible to purchase, and readily available to non-expert users. But early adoption of advanced robot technologies will move faster than the adaptation of our society to such technologies; it is our responsibility as robotics researchers to reduce friction and accelerate adaptation. Our research agenda catalyzes this process. We aim at lowering the barriers to entry for humans to naturally interact with robots, and in doing so we implement robot systems that better interface with the external world and humans. Our goal is to design the next generation of robot workers, collaborators, and companions. This will allow for humans and robots to accomplish together what neither of them can do alone.
Our group is within the Department of Computer Science in the College of Engineering and Applied Science at CU Boulder. If you want to learn more about our research and you would like involved with the lab, feel free to stop by during our weekly meetings!! For Spring 2021, we will be holding group meetings via Zoom—please contact us for the meeting details.
At the HIRO Group, we perform research at the intersection human-robot interaction, artificial intelligence, and robot control & planning with the goal of developing robot technologies that enable close, natural, and extended cooperation with humans. Our research effort is divided in three, partially overlapping, tightly coupled subteams. They are highlighted below; for more details on some of the research efforts going on in our lab, please visit our research page.
Novel sensing hardware and motion control frameworks for safe human–robot interaction
by Alessandro Roncone, on April 07, 2021
by Alessandro Roncone, on December 08, 2020
Achieving shared goals with Stackelberg learning in cooperative control
by Alessandro Roncone, on October 19, 2020
CU to lead innovative research at the intersection of Artificial Intelligence and Education
by Joewie J. Koh, on August 01, 2020
New Interdisciplinary Research Theme launched with significant internal funding to help advance CU Engineering's long-term research vision