Evan Barba

Georgetown University

Papers

1

Total Citations

2

H-Index

1

About

Evan Barba is a researcher whose work bridges human-computer interaction, tele-robotics, and design methodology. His most cited paper, "Tele-robotic Interface Design in Context: A Case for Recursive Design" (2020, 2 citations), explores the critical challenge of extending satellite lifetimes through unmanned orbital robots for servicing operations. Barba’s key contribution lies in advocating for a recursive design approach—where the interface itself evolves through iterative feedback from real-world operational contexts, rather than being fixed at the outset. This work addresses the complex, high-stakes environment of tele-robotic control, where delays and limited sensory feedback demand innovative interface solutions. While his citation count is modest, his focus on context-driven design offers a practical framework for improving remote manipulation in space and other hazardous settings. Barba’s research is notable for its emphasis on the human operator’s role in semi-autonomous systems, highlighting how recursive design can enhance usability and safety. His work serves as a valuable reference for students and researchers interested in the intersection of robotics, interface design, and real-world application, particularly in aerospace and teleoperation domains.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Tele-robotic Interface Design in Context: A Case for Recursive Design
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Georgetown University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago