R.J. Rupper

Papers

Total Citations

H-Index

About

R.J. Rupper’s research centers on human-robot interaction, with a particular focus on improving operator control of mobile robots through advanced camera systems and augmented virtuality displays. His work addresses the critical challenge of reducing operator confusion when using pan-tilt cameras on mobile platforms. In his most-cited paper (17 citations), Rupper explored methods to facilitate intuitive use of pan-tilt cameras, enabling operators to view the robot’s surroundings without disorienting movement errors. He further advanced the field by developing augmented virtuality interfaces that merge laser-derived occupancy grid maps with live video feeds, creating immersive displays that represent both terrain and camera perspectives. This approach, detailed in his work on perceiving head, shoulders, eyes, and toes, allows operators to maintain spatial awareness even when cameras are off-center. While his citation counts reflect a focused, early-career impact, Rupper’s contributions are notable for addressing a practical, persistent problem in mobile robotics: the cognitive gap between operator commands and robot perception. His work laid groundwork for more intuitive teleoperation systems, influencing subsequent research in human-robot interfaces and augmented reality for robotics.