Shai Sachs
Papers
1
Total Citations
104
H-Index
1
About
Shai Sachs is a pioneering researcher in robotics and computational geometry, best known for his foundational work on visibility-based pursuit-evasion in unknown environments. His most-cited paper, "Visibility-Based Pursuit-Evasion in an Unknown Planar Environment" (2004), has garnered 104 citations and addresses a critical challenge in autonomous robotics: how a pursuer robot with minimal sensing capabilities can locate an unpredictable evader in an unknown, simply-connected planar space. By adopting a minimalist approach—modeling the pursuer as a point robot with limited visibility—Sachs introduced novel on-line algorithms that operate without prior knowledge of the environment, a significant departure from earlier offline methods. This work has had lasting impact on mobile robotics, surveillance, and search-and-rescue operations, influencing subsequent research in sensor-based planning and adversarial motion. Sachs’ contributions are notable for their theoretical rigor and practical relevance, bridging the gap between geometric algorithms and real-world robotic constraints. His research continues to inspire students and researchers exploring the intersection of visibility, motion planning, and autonomous decision-making in uncertain domains.
Research Focus
Key Achievements
Top Papers
- 1Visibility-Based Pursuit-Evasion in an Unknown Planar Environment104 citations · 2004