Christopher Manteuffel
Papers
1
Total Citations
3
H-Index
1
About
Christopher Manteuffel is a researcher focused on human-robot interaction, supervisory control, and situational awareness, particularly in military contexts. His work addresses the critical challenge of optimizing collaboration between human operators and autonomous systems in high-stakes field environments. His most-cited paper, "Human-robot interaction modeling and simulation of supervisory control and situational awareness during field experimentation with military manned and unmanned ground vehicles" (2010, 3 citations), provides foundational insights into how humans manage and maintain awareness while supervising semi-automated military vehicles. This research bridges the gap between traditional large-scale field tests and simulation-based analysis, offering a more efficient framework for studying human-robot teaming under realistic conditions. While his citation count reflects a niche but impactful contribution, Manteuffel’s work is notable for its practical relevance to military robotics, where effective supervisory control can enhance mission safety and performance. His modeling approaches help predict operator behavior and system reliability, informing the design of future autonomous ground vehicles. For students and researchers in robotics or human factors engineering, Manteuffel’s research underscores the importance of integrating human cognition into autonomous system development, a key step toward safer and more effective human-robot collaboration in defense applications.
Research Focus
Key Achievements
Top Papers
- 1