Chris Reardon

Christopher M. Reardon

Assistant Professor, Computer Science

  • Faculty

What I do

I am an assistant professor in the department of Computer Science. My research mission is to enable robust human-robot teaming in real-world environments through AI and multimodal interaction.


computer science, Robotics, AI

Professional Biography

Christopher Reardon, PhD, is a computer scientist and experimental roboticist. He joined the faculty at the University of Denver in late 2020 as an Assistant Professor in the Department of Computer Science at the Ritchie School of Engineering and Computer Science.

Prior joining DU, Dr. Reardon spent over four and a half years as a research scientist at the U.S. Army Research Laboratory, where his research focused on enabling better human-robot teaming for autonomous mobility and maneuver contexts.

Dr. Reardon has published over 25 peer-reviewed journal and conference articles to date. He is an IEEE Senior Member. He is actively involved in the greater robotics research community, regularly serving in organizational leadership roles at conferences and workshops.


  • Ph.D., Computer Science, University of Tennessee, 2016
  • MS, Computer Science, University of Tennessee, 2008
  • BS, Computer Science, Berry College, 2002

Professional Affiliations

  • Senior member, IEEE


Dr. Reardon's research broadly investigates how to enable robust human-robot teaming in real-world environments through AI and multimodal interaction. His interests include AI-enabled human-robot interaction and teaming; emergent technologies and wearables for interaction; heterogeneous, multi-robot, air-ground teams; real-world and field robotics applications; cognitive and perception systems to enable the above.

Areas of Research

Human-robot interaction
mixed and augmented reality
field robotics

Featured Publications

Reardon, C., Lee, K., Rogers, J. G., & Fink, J. (2019). Augmented reality for human-robot teaming in field environments. Virtual, Augmented, and Mixed Reality (VAMR). Virtual, Augmented, and Mixed Reality (VAMR).
Yuan, L., Reardon, C., Warnell, G., & Loianno, G. (2019). Human gaze-driven spatial tasking of an autonomous MAV. IEEE Robotics and Automation Letters. Ieee Robotics And Automation Letters, 4(2), 1343--1350.
Reardon, C., Zhang, H., Wright, R., & Parker, L. E. (2019). Robots Can Teach Students With Intellectual Disabilities: Educational Benefits of Using Robotic and Augmented Reality Applications. IEEE Robotics \& Automation Magazine. Ieee Robotics \& Automation Magazine, 26(2), 79--93.
Zhang, H., Reardon, C., & Parker, L. E. (2013). Real-time multiple human perception with color-depth cameras on a mobile robot. IEEE Transactions on Cybernetics. Ieee Transactions On Cybernetics, 43(5), 1429--1441.