Rchr
J-GLOBAL ID:202001012025679495
Update date: Sep. 06, 2024
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):
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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
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Jean-Marc Alkazzi, Keisuke Okumura. A Comprehensive Review on Leveraging Machine Learning for Multi-Agent Path Finding. IEEE Access. 2024. 12. 57390-57409
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Keisuke Okumura. Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023
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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
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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):
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Combinatorial Search with Generators
(Seminar talk, Optimisation group, Monash University, Australia 2024)
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Pathfinding for 10k agent
(Agents-VIC Autumn Symposium 2024 in Melbourne, Australia 2024)
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Remove Assumptions in Multi-Agent Pathfinding
(Guest talk at idealworks, Munich 2024)
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Breaking Tradeoffs: Extremely Scalable Multi-Agent Pathfinding Algorithms
(Lectures on “Multi-Robot Planning and Coordination,” Robotics Institute, Carnegie Mellon University 2024)
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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)
- 2019/09 - 第15回情報科学ワークショップ 優秀研究賞
- 2018/03 - 第17回複雑系マイクロシンポジウム 最優秀講演賞
- 2017/09 - 第13回情報科学ワークショップ 優秀プレゼンテーション賞
- 2017/04 - 平成28年度 東京工業大学情報理工学院 学院長奨励賞
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Association Membership(s) (3):
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