Yaniv Oshrat
Papers
1
Total Citations
3
H-Index
1
About
Yaniv Oshrat is a researcher whose work lies at the intersection of robotics, multi-agent systems, and security, with a particular focus on adversarial patrolling and resource allocation. His major contributions include developing non-uniform patrol policies for asymmetric environments, addressing the critical challenge of how robot teams can effectively guard linear infrastructure against intelligent adversaries. In his most cited work, "Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments" (2020), Oshrat explores the Fence Patrol problem, where robots must repeatedly traverse an open polyline to detect adversaries who are aware of the robots' strategies. This research advances the theoretical foundations of security robotics by accounting for real-world constraints like varying terrain and adversary knowledge. While his citation count is still building, Oshrat's work is notable for its practical relevance to critical infrastructure protection, border security, and perimeter defense. His findings offer actionable insights for designing more robust patrol algorithms, making him a promising voice in the growing field of adversarial multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1