ロボカップ研究賞

Lineで送る

ロボカップ研究賞

ロボカップ研究賞は

ロボカップ研究賞の対象になるのは：

条件（１）前年のRoboCup Symposiumの論文、ポスターの中で第一筆者が学生でであること。
条件（２）メジャーな国際会議（例えば、IJCAI, AAMAS, ICRAなど）に採択され、前年（2025の場合は、2024.1.1から2024.12.31）に発表されたロボカップ関連の論文、ポスターで第一筆者が学生(論文投稿時) のもの。
条件（３）前年（2025の場合は、2024.1.1から2024.12.31）に、ロボカップジャパンオープン共催学会（人工知能学会、日本ロボット学会、計測自動制御学会、機械学会）の論文誌に掲載されたロボカップ関連の論文で、第一筆者が学生（論文投稿時点）のもの。

注：(2)、(3)において「ロボカップ関連」とは、タイトルまたはキーワードにロボカップ、RoboCup等の単語が含まれているものと解釈する。

エントリー方法と期間

条件（１）の対象論文はロボカップ日本委員会が推薦する。
条件（２）と（３）は前年（2025の場合は、2024）のジャパンオープンに参加したチームからの自薦とし、毎年（前年の）12月1日から12月14日までに、該当する論文の情報（採録通知、掲載情報、連絡担当者の氏名、連絡先）を日本委員会事務局（office@robocup.or.jp）まで提出する。

選考と表彰

当該年度の1月中旬をめどに、ジャパンオープン担当理事の担当で、受賞者を決定し、ジャパンオープンの際に表彰する。

これまでの受賞

2023年

1. Akira Oyama, Shoichi Hasegawa, Hikaru Nakagawa, Akira Taniguchi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, "Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information," Proceedings of the IEEE International Conference on
Robot & Human Interactive Communication, pp. 2617 - 2623, doi: 10.1109/RO-MAN57019.2023.10309487, August, 2023.

2. Itsuki Matsunaga, Haruki Uehara, Ryoka Maeda, Joe Fujisawa, Hiroya Suzuki, Keisuke Ando, Takeshi Uchitane, Kazunori Iwata, and Nobuhiro Ito, "Design of Task Assignments based on Ordering and Time Window Constraints for RoboCupRescue Agents,"  2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Koriyama, Japan, 2023, pp. 406-411, doi: 10.1109/IIAI-AAI59060.2023.00085.

3. Masaki Ban, Takumi Amano, Keisuke Ando, Takeshi Uchitane, Kazunori Iwata, and Nobuhiro Ito, "Analysis of the Expected Possession Value in RoboCupSoccer Simulation 2D," in 2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Koriyama, Japan, 2023 pp. 293-298. doi: 10.1109/IIAI-AAI59060.2023.00065

4. Ryota Tanabe, Shohei Yasuda, Kosuke Nakajima, and Wataru Uemura, "A Finding Place Method Considering distance between Robots", 2023 IEEE Global Conference on Consumer Electronics (GCCE), pp. 668 - 671. doi: 10.1109/GCCE59613.2023.10315361.

2022年

1. Shoichi Hasegawa, Akira Taniguchi, Yoshinobu Hagiwara, Lotfi El Hafi, and Tadahiro Taniguchi, “Inferring Place-Object Relationships by Integrating Probabilistic Logic and Multimodal Spatial Concepts,” Proceedings of the 2023 IEEE/SICE International Symposium on System Integration (SII), pp. 1-8,  doi: 10.1109/SII55687.2023.10039318, January, 2023.

2. Hiroya Suzuki, Yuki Okado, Toshinari Sakai, Yuki Miyamoto, Taishun Kusaka, Takeshi Uchitane, Kazunori Iwata, and Nobuhiro Ito,, "Implementation of Pseudo-Communication Module for DCOP Algorithms on RRS and Improvement of Binary Max-Sum," 2022 Joint 12th International
Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), Ise, Japan, 2022, pp. 1-7, doi: 10.1109/SCISISIS55246.2022.10002148.

2021年

1. Yuta Ando and Masahide Ito, “Obstacle avoidance of omnidirectional mobile robots in consideration of motion performance,” Proceedings of the 7th IEEJ International Workshop on Sensing, Actuation, Motion Control and Optimization (SAMCON2021), pp.394--395, Online (The University of Toyo, Chiba, Japan), March 2021.

2. Keisuke Ando, Haruaki Ueda, Takeshi Uchitane, Kazunori Iwata, and Nobuhiro Ito, "Applying covariance structure analysis to reveal relationships between agent capability and map characteristics in RoboCup Rescue Simulation,” 2021 Workshop on Artificial Intelligence and Simulation for Natural Disaster Management, July 2021.

3. Akira Hasegawa, Yuki Miyamoto, Haruki Uehara, Takeshi Uchitane, Kazunori Iwata, and Nobuhiro Ito, “A comprehensive simulation management platform for RRS on public cloud,” 2021 Workshop on Artificial Intelligence and Simulation for Natural Disaster Management, July 2021.

4. Hotaka Fujii and Wataru Uemura, “the Novel 3D Measurement Method by Tilting Laser Range Finder on a Mobile Robot,” Proc. of 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), pp. 900--902, doi: 10.1109/GCCE53005.2021.9621920, Oct. 2021.

5. Zheming Fan, Toyohiro Hayashi, and Takeshi Ohashi, “Planning method of untying cable with reinforcement learning technology,” Proc. of RoboCup Asia-Pacific 2021 Symposium, 01-AM-1, 12 pages, Nov. 2021.

6. Kyo Hatakeyama, Takuya Fukushima, Yoshifumi Kusunoki, Tomoharu Nakashima, and Hidehisa Akiyama, “A study on the effect of team names on the team strategy,” Proc. of RoboCup Asia-Pacific 2021 Symposium, 03-PM1-1, 12 pages, Nov. 2021.

7. Kazuya Tsubokura, Takashi Kuboya, Takuma Tachi, Akihisa Sanae, and Kunikazu Kobayashi, “A digital speech watermarking method using spread spectrum for secret communication in RoboCup Soccer,” Proc. of RoboCup Asia-Pacific 2021 Symposium, 04-PM1-2, 11 pages, Nov. 2021.

8. Hotaka Fujii, Taiga Shiraishi, Hyuga Miyata, and Wataru Uemura, “About point cloud data from an orthogonal mounted laser range finder on a mobile robot,” Proc. of RoboCup Asia-Pacific 2021 Symposium, 07-PM2-2, 6 pages, Nov. 2021.

2020年

1. Ryota Kuga, Yudai Suzuki and Tomoharu Nakashima, ``An Automatic Team Evaluation System for RoboCup Soccer Simulation'', Proc. of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020), 4 pages, Online, December 5-8, 2020.

2. Takuya Fukushima, Tomoharu Nakashima and Vicenç Torra, ``Team Classification with Tactical Analysis Using Fuzzy Inference in RoboCup Soccer,'' Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS 2020), Online, December 5-8, 2020.

3. Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama, "Evaluation-Function Modeling with Neural Networks for RoboCup
Soccer", Artificial Life and Robotics, Vol. 25, No. 3, pp. 440-445, 2020. https://doi.org/10.1007/s10015-020-00602-w

4. Yuki Suzuki and Wataru Uemura, ``A Novel Algorithm Checking for the Line Layout in a Factory'', IEEE 9th Global Conference on Consumer Electronics (GCCE 2020), pp.617-619,(2020).

5. Mayu Nakayama and Masahide Ito: "Visual feedback interception of a moving ball by an omni-wheeled mobile robot with an on-board camera," Proceedings of The 6th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2020), Paper No.P-20, Shibaura Institute of Technology, Tokyo, Japan

6. Y. Naito, T. Sugiura, M. Watanabe, D. Oikawa, T. Tsukamoto, H. Andoh: "Study of decision-making algorithm using Monte Carlo tree search for RoboCup Soccer Small Size robots," Proceedings of International Conference on Engineering and Industrial Technology (ICEIT2020), Paper No. P71-T4A, Pattaya, Thailand, September 2020.

7. Moeko Tominaga, Yasunori Takemura, Kazuo ISHII, “Behavior Selection System for Human-Robot Cooperation
Using Tensor SOM, Journal of Robotics, Networking and Artificial Life Vol.7(2), pp.81-85, ATLANTIS PRESS, Sep, 2020

8. Kaori Watanabe, Yuehang Ma, Tetsuya Yoshida, Hidekazu Suzuki, “ Real-Time Self-Localization for Autonomous Robot of RoboCup MSL”, The 2020 International Conference on Artificial Life and Robotics(ICAROB2020), Jan.13-16, Beppu, Oita, Japan

2019年

1. Yudai Suzuki and Tomoharu Nakashima, "On the Use of Simulated Future Information for Evaluating Game Situations," International Symposium of RoboCup2019 (2019)

2. Takuya Fukushima, Tomoharu Nakashima and Hidehisa Akiyama, "Similarity Analysis of Action Trajectories based on Kick Distributions," International Symposium RoboCup2019 (2019)

3. Yudai Suzuki, Takuya Fukushima, Lea Thibout, Tomoharu Nakashima and Hidehisa Akiyama, "Game-Watching Should be More Entertaining: Real-Time Application of Field -Situation Prediction to a Soccer Monitor," Development track, International Symposium RoboCup2019 (2019)

4. Reona Suzuki and Masahide Ito: "Trajectory Tracking Controller Based on Linear Model Predictive Control for Omni-Wheeled Mobile Robots with Velocity Command Limits," Proceedings of The 5th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2019), Paper No.V1-7, Chiba University, Chiba, Japan (2019.3)

5. Yusuke Hosoya, Haruaki Ueda, Nobuhiro Ito and Kazunori Iwata, "Map Creations with OpenStreetMap for RoboCupRescue Simulation," 6th International Conference on Computational Science/Intelligence and Applied Informatics (CSII 2019), pp.60-65, IEEE, Honolulu, Hawaii, USA (2019.5)

6. Atsuto Kawazoe, Nobuhiro Ito and Kazunori Iwata, "A Design Method for Kicks of the Desired Distance by Combinations of Based Kicks in RSS3D," 6th International Conference on Computational Science/Intelligence and Applied Informatics (CSII 2019), pp.66-71, IEEE, Honolulu, Hawaii, USA (2019.5)

7. Shunki Takami, Masaki Onishi, Itsuki Noda, Kazunori Iwata, Nobuhiro Ito, Takeshi Uchitane and Yohsuke Murase, "Infrastructure in Assessing Disaster-Relief Agents in the RoboCupRescue Simulation," 6th International Conference on Computational Science/Intelligence and Applied Informatics (CSII 2019), selected papers, Studies in Computational Intelligence, vol.848, pp.133-147, Springer, Honolulu, Hawaii, USA (2019.5)

2018年

1. Fukushima T., Nakashima T., Akiyama H. (2019) Mimicking an Expert Team Through the Learning of Evaluation Functions from Action Sequences. In: Holz D., Genter K., Saad M., von Stryk O. (eds) RoboCup 2018: Robot World Cup XXII. RoboCup 2018. Lecture Notes in Computer Science, vol 11374. Springer, Cham
DOI: https://doi.org/10.1007/978-3-030-27544-0_14

2. T. Kusaka, Y. Miyamoto, A. Hasegawa, S. Takami, K. Iwata and N. Ito, "Effective Fusion of Disaster-Relief Agent in RoboCupRescue Simulation," 2018 5th International Conference on Computational Science/ Intelligence and Applied Informatics (CSII), Yonago, 2018, pp. 78-83.
doi: 10.1109/CSII.2018.00021

3. Takami S., Onishi M., Iwata K., Ito N., Murase Y., Uchitane T. (2018) An Environment for Combinatorial Experiments in a Multi-agent Simulation for Disaster Response. In: Miller T., Oren N., Sakurai Y., Noda I., Savarimuthu B., Cao Son T. (eds) PRIMA 2018: Principles and Practice of Multi-Agent Systems. PRIMA 2018. Lecture Notes in Computer Science, vol 11224. Springer, Cham,
DOI: https://doi.org/10.1007/978-3-030-03098-8_52

2017年

Takahiro Kobori, Tomoaki Nakamura, Mikio Nakano, Takayuki Nagai, Naoto Iwahashi, Kotaro Funakoshi & Masahide Kaneko (2016) Robust comprehension of natural language instructions by a domestic service robot, Advanced Robotics, 30:24, 1530-1543, DOI: 10.1080/01691864.2016.1252689

M. Yamamoto, N. Ito, K. Iwata, T. Matsukawa, Y. Kawabe, “A 3D visualization display system for the RoboCupRescue Simulation competition”, 3rd International Conference on Computational Science/Intelligence and Applied Informatics, pp.319-324(2016.12, 米国ラスベガス)

2013年

Kotaro Yasui, Kunikazu Kobayashi, Kazuhito Murakami and Tadashi Naruse; Analyzing and Learning Opponent’s Strategies in the RoboCup Small Size League
安井　興太郎(※）、小林　邦和、村上　和人、成瀬　正, 愛知県立大学大学院情報科学研究科

Toshinori Niwa, Masaru Okaya and Tomoichi Takahashi; Parallel Computation using GPGPU to Simulate Crowd Evacuation Behaviors - planning effective evacuation guidance at emergencies
丹羽俊徳、岡谷賢、高橋友一, 名城大学大学院

2010年

"Learning Novel Objects Using Out-of-Vocabulary Word Segmentation and Object Extraction for Home Assistant Robots," Muhammad Attamimi, Akira Mizutani, Tomoaki Nakamura, Komei Sugiura, Takayuki Nagai, Naoto Iwahashi, Hiroyuki Okada and Takashi Omori, 2010 IEEE International Conference on Robotics and Automation Anchorage Convention District May 3-8, pp. 745-750, 2010, Anchorage, Alaska, USA