| Priority inheritance with backtracking for iterative multi-agent path finding K Okumura, M Machida, X Défago, Y Tamura Artificial Intelligence 310, 103752, 2022 | 139 | 2022 |
| Kilogrid: a novel experimental environment for the Kilobot robot G Valentini, A Antoun, M Trabattoni, B Wiandt, Y Tamura, E Hocquard, ... Swarm Intelligence 12, 245-266, 2018 | 63 | 2018 |
| Iterative refinement for real-time multi-robot path planning K Okumura, Y Tamura, X Défago 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 30 | 2021 |
| Roadside-assisted cooperative planning using future path sharing for autonomous driving M Hirata, M Tsukada, K Okumura, Y Tamura, H Ochiai, X Défago 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 1-7, 2021 | 22 | 2021 |
| Time-independent planning for multiple moving agents K Okumura, Y Tamura, X Défago Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11299 …, 2021 | 17 | 2021 |
| Offline time-independent multiagent path planning K Okumura, F Bonnet, Y Tamura, X Défago IEEE Transactions on Robotics 39 (4), 2720-2737, 2023 | 16 | 2023 |
| Acquisition of dispatching rules for job-shop scheduling problem by artificial neural networks using PSO Y Tamura, M Yamamoto, I Suzuki, M Furukawa Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2013 | 11 | 2013 |
| winpibt: Extended prioritized algorithm for iterative multi-agent path finding K Okumura, Y Tamura, X Défago arXiv preprint arXiv:1905.10149, 2019 | 10 | 2019 |
| Application of local clustering organization to reactive job-shop scheduling Y Tamura, H Iizuka, M Yamamoto, M Furukawa Soft Computing 19, 891-899, 2015 | 9 | 2015 |
| Active modular environment for robot navigation S Kameyama, K Okumura, Y Tamura, X Défago 2021 IEEE International Conference on Robotics and Automation (ICRA), 8636-8642, 2021 | 7 | 2021 |
| Amoeba exploration: Coordinated exploration with distributed robots K Okumura, Y Tamura, X Défago 2018 9th International Conference on Awareness Science and Technology (iCAST …, 2018 | 5 | 2018 |
| ToST: Tokyo SUMO traffic scenario Y Yamazaki, Y Tamura, X Défago, E Javanmardi, M Tsukada 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 4 | 2023 |
| Quixo is solved S Tanaka, F Bonnet, S Tixeuil, Y Tamura Advances in Computer Games, 85-95, 2021 | 4 | 2021 |
| Communication efficient self-stabilizing leader election (full version) X Défago, Y Emek, S Kutten, T Masuzawa, Y Tamura arXiv preprint arXiv:2008.04252, 2020 | 3 | 2020 |
| The hybrid approach of lco and sa to solve job-shop scheduling problem Y Tamura, I Suzuki, M Yamamoto, M Furukawa Transactions of the Institute of Systems, Control and Information Engineers …, 2013 | 3 | 2013 |
| Quixo の強解決 田中智， 田村康将 ゲームプログラミングワークショップ 2020 論文集 2020, 181-188, 2020 | 2 | 2020 |
| Behavioral specialization emerges from the embodiment of a robotic swarm M Hiraga, Y Tamura, K Ohkura Artificial Life and Robotics 25, 495-502, 2020 | 2 | 2020 |
| Extended local clustering organization with rule-based neighborhood search for job-shop scheduling problem Y Tamura, H Iizuka, M Yamamoto Proceedings of the 18th Asia Pacific Symposium on Intelligent and …, 2015 | 2 | 2015 |
| Peer-to-Peer Energy Trading Meets Blockchain: Consensus via Score-Based Bid Assignment X Su, X Defago, M Larangeira, K Mori, T Oda, Y Okumura, Y Tamura, ... Cryptology ePrint Archive, 2022 | 1 | 2022 |
| A Deep Learning Approach to Understanding the Integration of Tools into Body Schema H Kasashima, W Noguchi, Y Tamura, M Yamamoto, H Iizuka ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, 2024 | | 2024 |
Xavier DefagoProfessor of Computer Science, Institute of Science Tokyo (formerly: Tokyo Tech)Verified email at c.titech.ac.jp