Richard Romano
Papers
1
Total Citations
42
H-Index
1
About
Richard Romano is a leading researcher in autonomous vehicle (AV) interaction and human-robot behavior, with a particular focus on pedestrian dynamics and traffic safety. His most influential work, "Empirical game theory of pedestrian interaction for autonomous vehicles" (2018, 42 citations), fundamentally reframes how AVs should negotiate with vulnerable road users. Rather than relying on conservative stop-everywhere algorithms, Romano applies game-theoretic models to real pedestrian behavior, showing that AVs must balance safety with social assertiveness to avoid gridlock. This contribution bridges robotics and behavioral economics, offering a mathematically rigorous framework for AV decision-making at crosswalks and in mixed traffic. His research has shaped how engineers design AV control systems that are both safe and socially competent, influencing subsequent work on human-robot interaction and autonomous navigation. Romano’s insights are critical for the deployment of AVs in real-world urban environments, where understanding pedestrian intent and mutual adaptation is essential. His work continues to inform policy and design standards for autonomous systems, making him a key figure in the transition toward socially-aware autonomous mobility.
Research Focus
Key Achievements
Top Papers
- 1Empirical game theory of pedestrian interaction for autonomous vehicles42 citations · 2018