Moshe Feldman
Papers
2
Total Citations
8
H-Index
2
About
Moshe Feldman’s research lies at the intersection of human-robot interaction (HRI), military robotics, and team performance, with a focus on understanding how humans and autonomous systems collaborate in complex, high-stakes environments. His most cited works center on the development and application of the CARAT scale MOUT (Military Operations in Urban Terrain) facility at the University of Central Florida’s Team Performance Laboratory. This facility, described in his 2004 and 2005 papers, provides a controlled, scaled environment for studying HRI in urban combat scenarios—a critical need as automated military vehicles become more prevalent. Feldman’s contributions are foundational to the US Army Research Laboratory’s five-year program aimed at enhancing human-robot teaming for the Objective Force Warrior and Future Combat Systems. Though his citation counts are modest (4 per paper), his work has shaped early experimental frameworks for evaluating how technology and procedures affect soldier-robot coordination. For students and researchers, Feldman’s research offers a practical blueprint for designing scalable testbeds that bridge laboratory studies and real-world military operations, highlighting the enduring challenge of optimizing human trust and control in robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Scale MOUT Facility for Studying Human-Robot Interaction and Control4 citations · 2004