Fumiya Kudo

Osaka Metropolitan University, Osaka City University

Papers

Total Citations

H-Index

About

Fumiya Kudo is a rising researcher in the field of multi-agent robotics, with a focused expertise in Multi-Agent Path Finding (MAPF) and its industrial extension, Multi-Agent Pickup and Delivery (MAPD). His work bridges the gap between academic algorithms and real-world industrial applications, addressing the critical challenge of automatically controlling teams of robots and AGVs on factory floors and in logistic warehouses. Kudo’s major contributions include developing a TSP-based online algorithm for multi-task MAPD, which has garnered 23 citations since 2023 for its novel approach to coordinating complex pickup and delivery operations. He has also advanced the field with an anytime algorithm that operates under energy constraints (10 citations, 2024), ensuring robust performance even when battery life is limited. Most recently, his 2025 work on "Robust Space-Time A*" introduces a human-in-the-loop framework, enhancing safety and adaptability in dynamic environments. With a total of 34 citations across his top papers, Kudo is establishing himself as a key innovator in making multi-agent systems practical for industrial automation.