M. Edashige
Papers
1
Total Citations
7
H-Index
1
About
M. Edashige is a researcher whose work lies at the intersection of robotics, multi-agent systems, and swarm intelligence. Their most notable contribution is a pioneering approach to cooperative path-planning for multiple automata, introduced in a 2002 paper that has garnered 7 citations. In this work, Edashige proposed an innovative online algorithm where each autonomous agent typically moves directly toward its goal, but when collisions occur, the system detects emergent swarms through sensor data. This dynamic/static conversion method allows the automata to resolve complex multi-agent conflicts without centralized control, a foundational concept in distributed robotics. While the citation count is modest, the paper’s focus on real-time, sensor-driven swarm management represents an early and influential step in the field. Edashige’s research is particularly relevant for students and engineers working on autonomous vehicle coordination, drone fleets, or industrial automation, where efficient, decentralized path-planning remains a critical challenge. Their work underscores the importance of simple, scalable rules in achieving collective behavior, making it a valuable reference for those exploring the intersection of control theory and swarm robotics.
Research Focus
Key Achievements
Top Papers
- 1