Okumura Keisuke

オクムラケイスケ | Okumura Keisuke

Affiliation and department：
Other affiliations (1)：

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 (21)：

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

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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)

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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)

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Association Membership(s) (3)：

JSAI , IEEE , 情報処理学会

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