Kamran Layeghi
Papers
1
Total Citations
5
H-Index
1
About
Kamran Layeghi is a researcher whose work lies at the intersection of robotics, optimization, and algorithmic design. His most notable contribution is a pioneering study on the Freeze-Tag Problem, a classic multi-robot coordination challenge where a single “awake” robot must awaken a team of “asleep” robots to minimize total mission time. In his 2011 paper, Layeghi introduced a novel Simulated Annealing approach to this NP-hard problem, offering an efficient heuristic that balances exploration and exploitation to find near-optimal awakening schedules. This work, which has garnered 5 citations, provides a practical solution for real-world applications such as search-and-rescue operations and autonomous swarm deployment. By framing the Freeze-Tag Problem as an optimization task, Layeghi’s research demonstrates how metaheuristic algorithms can tackle complex robotic coordination tasks, paving the way for faster and more scalable multi-agent systems. His contributions are particularly valuable for students and researchers interested in swarm robotics, combinatorial optimization, and the design of intelligent algorithms for time-critical missions.
Research Focus
Key Achievements
Top Papers
- 1A Simulated Annealing Approach for the Freeze-Tag Problem5 citations · 2011