Ph.D. research advanced scalable multi-agent/multi-robot systems
Algorithms won the Amazon Robotics-sponsored international logistics automation competition multiple times
Deployed in real-world warehouse operations by multiple companies
Three preprint papers on MAPF to be released on arXiv in Oct. 2025
Recipient of JSPS Research Fellowship for Young Scientists (DC1) from Apr. 2020 to Mar. 2023
Lead developer of Project LaCAM: a fast, scalable, and reliable solution for multi-agent pathfinding (MAPF)
Research Experience
Visiting Postdoc Scholar at University of Cambridge (May 2023–present), hosted by Prof. Amanda Prorok, supported by JSPS Overseas Fellowship
Research Scientist at National Institute of Advanced Industrial Science and Technology (AIST) (Apr. 2023–present), affiliated with AIRC and TICO-AIST Cooperative Research Laboratory for Advanced Logistics
Visiting Scholar at LIP6, Sorbonne University (Feb. 2022–Sep. 2022), working on risk-aware multi-agent planning under Prof. Sebastien Tixeuil
Research Intern at OMRON SINIC X (Apr. 2021–Oct. 2021), focused on data-driven multi-agent planning with Dr. Ryo Yonetani
Research Intern at NEC Data Science Lab (Aug. 2018–Sep. 2018), worked on multi-agent systems, combinatorial auctions, and machine learning with Mr. Shinji Nakadai