Papers

8

Total Citations

173

H-Index

3

About

Chris Baber is a multidisciplinary researcher whose work spans human-robot interaction, trust in autonomous systems, and the integration of advanced technologies into complex operational environments. Perhaps his most significant contribution is his involvement in developing the IDEAL framework for surgical robotics — a structured approach to the development, comparative evaluation, and long-term monitoring of robotic surgical systems — which has garnered an impressive 143 citations since its 2024 publication, reflecting its immediate and widespread influence on the medical robotics community. Baber's research has increasingly focused on the dynamics of trust within human-robot teams, exploring how trust forms rapidly in mobile ad hoc settings, evolves through co-movement, and can be formally defined and measured in distributed multiagent systems — work with clear implications for defense, security, and search-and-rescue operations. His earlier contributions examined error identification and management in automated assembly, demonstrating a long-standing interest in how humans and machines navigate failure together. More inventive projects, such as the Robo-Tic tick-eliminating robot, reveal a researcher willing to apply robotics to unexpected real-world health challenges. Across three decades, Baber's scholarship consistently bridges theory and application, making him a valuable voice in the evolving conversation about safe, trustworthy human-machine collaboration.

Research Focus

Key Achievements

3
H-Index
8
Papers
173
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring
143 citations · 2024
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 98
🏛 Institutions: University of Utah, University of Birmingham, Virginia Military Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago