Koji Oda
Papers
1
Total Citations
2
H-Index
1
About
Koji Oda is a researcher whose work focuses on the intersection of swarm intelligence and robotic control, particularly through the application of Particle Swarm Optimization (PSO). His most-cited paper, "Mobile Agents for Robot Control based on PSO" (2018), introduces a novel framework where mobile agents leverage PSO algorithms to coordinate and optimize multi-robot systems. This contribution addresses key challenges in decentralized control, enabling robots to adapt dynamically to complex environments without centralized oversight. While his citation count is modest—with the paper accruing 2 citations to date—Oda’s work is notable for its foundational approach to integrating bio-inspired computation with autonomous agent design. His research holds potential for advancing fields like search-and-rescue operations, environmental monitoring, and industrial automation. Oda’s focus on lightweight, scalable solutions underscores a commitment to practical, real-world applications, making his contributions a stepping stone for future developments in swarm robotics and distributed intelligence.
Research Focus
Key Achievements
Top Papers
- 1Mobile Agents for Robot Control based on PSO2 citations · 2018