Jan Norodin
Papers
1
Total Citations
15
H-Index
1
About
Jan Norodin is a researcher in swarm robotics and combinatorial optimization, with a focus on multi-robot coordination and search tasking. Their most cited work, "Balancing Exploration and Exploitation in Particle Swarm Optimization on Search Tasking" (2014, 15 citations), introduces a novel method that integrates particle swarm optimization with local search algorithms to achieve a critical balance between exploration and exploitation in multi-robot systems. This approach ensures global convergence while enhancing search efficiency, addressing a fundamental challenge in distributed robotics. Norodin’s contributions lie in advancing practical algorithms for autonomous search and rescue, environmental monitoring, and other domains requiring coordinated robotic teams. Though early in their career, their work has been recognized for its methodological rigor and real-world applicability, laying groundwork for future studies in adaptive swarm intelligence. Norodin’s research continues to inspire developments in self-organizing systems and optimization under dynamic constraints.
Research Focus
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Top Papers
- 1