Naoki Oyama
Papers
1
Total Citations
3
H-Index
1
About
Naoki Oyama is a robotics researcher whose work focuses on multi-robot coordination and task planning in dynamic environments. His most-cited paper, "Rearrangement task of multiple robots using task assignment applicable to different environments" (2010), tackles the challenge of enabling a group of mobile robots to collaboratively rearrange objects in a workspace. Oyama’s key contribution is a task assignment and path planning method that minimizes completion time by accounting for the complexity of robot trajectories, all while remaining adaptable to various environmental layouts—a significant step toward flexible, real-world deployment of robot swarms. Though his citation count (3) is modest, this work demonstrates foundational thinking in distributed robotics, emphasizing efficiency and scalability. Oyama’s research holds relevance for applications in warehouse automation, search-and-rescue, and industrial logistics, where multiple robots must coordinate without centralized control. His approach to integrating task allocation with path optimization offers a practical framework for students and researchers exploring the intersection of multi-agent systems and motion planning.
Research Focus
Key Achievements
Top Papers
- 1