Keisuke Okumura
Scholar

Keisuke Okumura

Google Scholar ID: 4dFSWwMAAAAJ
University of Cambridge & National Institute of Advanced Industrial Science and Technology (AIST)
Multi-Agent Path PlanningMulti-Robot Coordination
Citations & Impact
All-time
Citations
637
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • 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