Rchr
J-GLOBAL ID:202001012025679495   Update date: Jul. 07, 2024

Okumura Keisuke

オクムラ ケイスケ | Okumura Keisuke
Affiliation and department:
Other affiliations (1):
  • University of Cambridge
Homepage URL  (1): https://kei18.github.io/
Research field  (2): Intelligent robotics ,  Intelligent informatics
Research keywords  (2): multi-robot coordination ,  multi-agent planning
Research theme for competitive and other funds  (4):
  • 2023 - 2025 サンプリング・探索・学習の統合によるマルチロボットモーションプランニングの新展開
  • 2020 - 2023 Enhanced Cooperation of Moving Agents via an Active Modular Environment
  • 2022 - 2022 Designing Distributed Algorithms for a Modular Environment Enhancing Cooperative Robots
  • 2022 - Environment Optimization for Multi-Agent Path Planning
Papers (20):
  • Keisuke Okumura. Engineering LaCAM*: Towards Real-time, Large-scale, and Near-optimal Multi-agent Pathfinding. Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2024. 1501-1509
  • Jean-Marc Alkazzi, Keisuke Okumura. A Comprehensive Review on Leveraging Machine Learning for Multi-Agent Path Finding. IEEE Access. 2024. 12. 57390-57409
  • Keisuke Okumura. Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023
  • Keisuke Okumura, Xavier Défago. Quick Multi-Robot Motion Planning by Combining Sampling and Search. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023. abs/2203.00315
  • Keisuke Okumura, Sébastien Tixeuil. Fault-Tolerant Offline Multi-Agent Path Planning. Proceedings of the AAAI Conference on Artificial Intelligence. 2023. 37. 10. 11647-11654
more...
Lectures and oral presentations  (10):
  • Combinatorial Search with Generators
    (Seminar talk, Optimisation group, Monash University, Australia 2024)
  • Pathfinding for 10k agent
    (Agents-VIC Autumn Symposium 2024 in Melbourne, Australia 2024)
  • Remove Assumptions in Multi-Agent Pathfinding
    (Guest talk at idealworks, Munich 2024)
  • Breaking Tradeoffs: Extremely Scalable Multi-Agent Pathfinding Algorithms
    (Lectures on “Multi-Robot Planning and Coordination,” Robotics Institute, Carnegie Mellon University 2024)
  • Pathfinding for 10k agents
    (Wednesday Seminars, the Department of Computer Science and Technology, University of Cambridge 2023)
more...
Education (3):
  • 2020 - 2023 Tokyo Institute of Technology School of Computing (Ph.D.)
  • 2018 - 2020 Tokyo Institute of Technology School of Computing (M. Eng)
  • 2014 - 2018 Tokyo Institute of Technology Department of Computer Science (B. Eng.)
Professional career (1):
  • Doctor of Engineering in Artificial Intelligence (Tokyo Institute of Technology)
Work history (4):
  • 2023/05 - 現在 University of Cambridge Visiting Scholar
  • 2023/04 - 現在 National Institute of Advanced Industrial Science and Technology Artificial Intelligence Research Center researcher
  • 2020/04 - 2023/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientists (DC1)
  • 2022/03 - 2022/09 Sorbonne University Visiting Scholar
Awards (9):
  • 2024/03 - Ph.D. Dissertation Award (Seiichi Tejima Research Award), Tokyo Institute of Technology
  • 2022/05 - The ICAPS 2022 Best Student Paper Award
  • 2021/10 - Nomination Award of the 2021 Microsoft Research Asia Fellowship
  • 2021/09 - Outstanding Presentation Award, The 17th Workshop on Theoretical Computer Science (WTCS)
  • 2020/09 - Outstanding Presentation Award, The 16th Workshop on Theoretical Computer Science (WTCS)
Show all
Association Membership(s) (3):
JSAI ,  IEEE ,  情報処理学会
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