Max Katsev
Papers
2
Total Citations
66
H-Index
2
About
Max Katsev’s research lies at the intersection of robotics, computational geometry, and multi-agent systems, with a focus on enabling intelligent movement in constrained and unknown environments. His most cited work, “Mapping and Pursuit-Evasion Strategies For a Simple Wall-Following Robot” (2011, 55 citations), introduces a minimalist robot that relies solely on local sensors and wall-following behavior to navigate and map unknown polygonal spaces. This foundational contribution provides elegant, provable strategies for pursuit-evasion tasks, demonstrating how simple mechanical rules can achieve complex spatial reasoning without global awareness. Katsev also made a significant impact in large-scale multi-robot coordination with his 2013 paper “Efficient formation path planning on large graphs” (11 citations), which presents a hierarchical algorithm capable of assigning goals and planning collision-free paths for up to 10,000 robots on a 250,000-vertex grid in under one second. This work showcases his ability to tackle scalability challenges in swarm robotics. Together, these contributions highlight Katsev’s talent for distilling complex robotic problems into efficient, mathematically grounded solutions, making his research a valuable reference for students and engineers working in autonomous navigation and distributed robotics.
Research Focus
Key Achievements
Top Papers
- 1Mapping and Pursuit-Evasion Strategies For a Simple Wall-Following Robot55 citations · 2011
- 2Efficient formation path planning on large graphs11 citations · 2013