Ross McCool
Papers
1
Total Citations
9
H-Index
1
About
Ross McCool is a researcher focused on the intersection of pedestrian dynamics and autonomous systems, with a particular emphasis on human-robot interaction in shared spaces. His most-cited work, "Simulation modeling of pedestrian behavior in the presence of unmanned mobile robots" (2017, 9 citations), provides foundational insights into how individuals navigate environments alongside unmanned mobile robots, using agent-based modeling to predict crowd responses and inform safer robot design. This contribution is critical as autonomous robots become more prevalent in public areas, from warehouses to sidewalks. McCool’s research addresses key challenges in robotics and urban planning, offering empirical frameworks for integrating robots without disrupting human flow. While his citation count is modest, his work is notable for its early, targeted exploration of a rapidly growing field, laying groundwork for subsequent studies on trust, efficiency, and safety in human-robot encounters. McCool’s achievements include advancing simulation methodologies that bridge behavioral science and engineering, making him a valuable voice in the ongoing dialogue about autonomous systems in everyday life.
Research Focus
Key Achievements
Top Papers
- 1