Christopher Reardon

About

Christopher Reardon is a robotics researcher whose work sits at the dynamic intersection of human-robot interaction, autonomous systems, and augmented reality. His research addresses some of the most pressing challenges in deploying robots alongside humans in complex, real-world environments — from enabling robots to perceive and safely navigate around multiple people in real time to facilitating seamless communication between human and robotic teammates in unstructured field settings. Reardon's early contributions include acoustic sensor-based target interception (2004) and real-time human perception using color-depth cameras (2013, 71 citations), work that laid critical groundwork for safe human-robot collaboration. He has since become a leading voice in augmented reality interfaces for human-robot teaming, with multiple influential papers exploring how AR can convey robot situational awareness to human partners (2018–2019). His innovative use of eye-tracking glasses for hands-free quadrotor navigation (2019, 42 citations) exemplifies his creative approach to noninvasive interaction modalities. Beyond field robotics, Reardon has extended his expertise into educational technology, demonstrating that robots and AR applications can meaningfully support students with intellectual disabilities. His work on multi-robot team selection using graph embedding further reflects his broad, systems-level thinking. Collectively, his papers have accumulated over 300 citations, underscoring his growing influence across robotics, human-machine teaming, and assistive technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Real-Time Multiple Human Perception With Color-Depth Cameras on a Mobile Robot

   71 citations · 2013
2. 2
   Come See This! Augmented Reality to Enable Human-Robot Cooperative Search

   49 citations · 2018
3. 3
   Human Gaze-Driven Spatial Tasking of an Autonomous MAV

   42 citations · 2019
4. 4
   Indoor target intercept using an acoustic sensor network and dual wavefront path planning

   38 citations · 2004
5. 5
   Air-ground robot team surveillance of complex 3D environments

   32 citations · 2016
6. 6
   Communicating via Augmented Reality for Human-Robot Teaming in Field Environments

   20 citations · 2019
7. 7
   Towards safe robot-human collaboration systems using human pose detection

   19 citations · 2015
8. 8
   Robots Can Teach Students With Intellectual Disabilities: Educational Benefits of Using Robotic and Augmented Reality Applications

   17 citations · 2018
9. 9
   Augmented Reality for Human-Robot Teaming in Field Environments

   16 citations · 2019
10. 10
    Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams

    15 citations · 2020

Key Collaborators

Contact & Links