Manuel Lafond
Papers
2
Total Citations
7
H-Index
2
About
Manuel Lafond is a researcher whose work lies at the intersection of theoretical computer science, robotics, and algorithmic optimization, with a particular focus on search and evacuation problems. His key research areas include distributed algorithms, mobile robotics, and energy-efficient computation. Lafond’s major contributions center on analyzing the fundamental tradeoffs between time and energy in multi-agent systems, especially when robots must coordinate under constrained communication models. In his most-cited paper, “Energy Consumption of Group Search on a Line” (2019, 4 citations), Lafond explores how two robots using face-to-face communication can locate an exit on an infinite line while minimizing energy expenditure—a problem with direct implications for search-and-rescue operations and autonomous exploration. His follow-up work, “Time-Energy Tradeoffs for Evacuation by Two Robots in the Wireless Model” (2019, 3 citations), extends this analysis to wireless communication, revealing how different coordination strategies impact performance. Though his citation counts are modest, Lafond’s research is notable for its rigorous theoretical grounding and practical relevance, offering clear insights into the design of efficient, energy-aware robotic systems. His work is particularly valuable for students and researchers interested in the mathematical foundations of multi-agent coordination and resource-constrained algorithms.
Research Focus
Key Achievements
Top Papers
- 1Energy Consumption of Group Search on a Line4 citations · 2019
- 2Time-Energy Tradeoffs for Evacuation by Two Robots in the Wireless Model3 citations · 2019