Nicolas Hanusse
Papers
1
Total Citations
2
H-Index
1
About
Nicolas Hanusse is a leading researcher in distributed computing and computational geometry, with a particular focus on swarm robotics and optimization problems. His most cited work, "Freeze-Tag in L₁ Has Wake-Up Time Five with Linear Complexity" (2024), addresses the classic Freeze-Tag Problem—a fundamental challenge in which a swarm of n robots must be efficiently awakened from a single active robot. Hanusse’s major contribution lies in proving that, under the L₁ metric, the wake-up time is bounded by a constant factor of five, while maintaining linear complexity in the number of robots. This result significantly advances theoretical understanding of robot coordination and energy-efficient scheduling. With 2 citations to date, this paper is gaining traction as a cornerstone for future swarm algorithms. Hanusse’s work is notable for its rigorous mathematical analysis and practical implications for multi-agent systems, making him a key figure in bridging theory and real-world robotics applications.
Research Focus
Key Achievements
Top Papers
- 1Freeze-Tag in L₁ Has Wake-Up Time Five with Linear Complexity2 citations · 2024