Jeffrey Gennari
Papers
3
Total Citations
100
H-Index
3
About
Jeffrey Gennari is a pioneering researcher in the intersection of robotics, simulation, and human-robot teaming, with a primary focus on Urban Search and Rescue (USAR) applications. His major contributions center on developing interactive, game-engine-based simulations of the NIST Reference Test Facility for Autonomous Mobile Robots. By translating standardized disaster environments—comprising three scenarios of progressive difficulty—into virtual platforms, Gennari enabled the testing and refinement of Robots-Agents-People (RAP) team coordination and control strategies without the cost or risk of physical trials. His most-cited work, "A game engine based simulation of the NIST urban search and rescue arenas" (2004), has garnered 52 citations, while his foundational 2003 paper "Usar: A Game Based Simulation for Teleoperation" has 38 citations, underscoring the lasting influence of his simulation methodologies. These tools allowed researchers to develop teleoperation interfaces and autonomous behaviors in a repeatable, controlled setting. Gennari’s work is notable for bridging the gap between physical testbeds and scalable virtual environments, making him a key figure in advancing simulation-based training and evaluation for disaster-response robotics.
Research Focus
Key Achievements
Top Papers
- 1A game engine based simulation of the NIST urban search and rescue arenas52 citations · 2004
- 2Usar: A Game Based Simulation for Teleoperation38 citations · 2003
- 3Interactive simulation of the NIST USAR arenas10 citations · 2004