Dillon Potts

Papers

Total Citations

H-Index

About

Dillon Potts is a researcher at the forefront of human-robot interaction, with a particular focus on leveraging augmented reality (AR) to make robot control more intuitive and accessible. His most-cited work, "Augmented Reality for Interactive Robot Control" (2019), has garnered 22 citations and stands as a cornerstone in the field, demonstrating how AR interfaces can bridge the gap between complex robotic systems and human operators. Potts’s major contribution lies in developing novel, real-time visualization and control frameworks that allow users to interact with robots through simple, spatially-aware gestures and overlays, reducing the learning curve for non-experts. This work has significant implications for manufacturing, healthcare, and education, where safe and efficient human-robot collaboration is critical. Beyond this flagship paper, Potts continues to explore the intersection of mixed reality and autonomous systems, pushing the boundaries of how we perceive and command robotic agents. His research not only advances technical capabilities but also prioritizes user experience, making him a key voice in shaping the future of interactive robotics.