Papers

2

Total Citations

5

H-Index

2

About

Benjamin P. Hughes is a robotics researcher focused on making telemanipulation—the remote control of robots—more accessible and intuitive. His work centers on human-robot interaction, haptic feedback, and the cognitive factors influencing operator performance. In his most-cited paper, "A-RIFT: Visual Substitution of Force Feedback for a Zero-Cost Interface in Telemanipulation" (2022, 3 citations), Hughes introduced a novel approach that replaces expensive force feedback hardware with visual cues, preserving the haptic channel at zero additional cost. This work addresses a critical gap in the literature, where performance improvements often overshadow accessibility. His second paper, "The influence of gaming frequency and viewing perspective on a remote robot operation task" (2020, 2 citations), explores how visuospatial skills—particularly those honed by frequent video game players—affect teleoperation performance. By linking gaming experience to improved remote operation, Hughes highlights the untapped potential of everyday skills in robotics. His research not only advances the field of accessible robotic interfaces but also bridges cognitive science and engineering, offering practical insights for designing more user-friendly teleoperation systems. Hughes’s work is especially relevant for students and researchers interested in low-cost, human-centered robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A-RIFT: Visual Substitution of Force Feedback for a Zero-Cost Interface in Telemanipulation
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Technical University of Munich, University of California, Santa Cruz

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago