Yoshinobu Hagiwara

Intelligent Robotics, Intelligent Informatics

1. Development of computational models for learning, recognition, and prediction of daily life physical support robots
2. Development of basic technologies for symbol emergence systems for co-creative learning between humans and robots

Born in Osaka Prefecture in 1980

2010: Doctor of Engineering, Department of Information Systems, Graduate School of Engineering, Soka University

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2010: Assistant Lecturer, Faculty of Engineering, Soka University

2013: Specially Appointed Researcher, Informatics Principles Research Division, National Institute of Informatics

2015: Assistant Lecturer Faculty of Information Science Faculty of Science and Engineering Ritsumeikan University

2017: Researcher (concurrent) at Ritsumeikan University Research Organization of Science and Technology

2018 Lecturer Faculty of Information Science Faculty of Science and Engineering Ritsumeikan University

2022: Associate Professor, Ritsumeikan University Research Organization of Science and Technology

2022: Part-time Lecturer at the College of Information Faculty of Science and Engineering Ritsumeikan University

2024 Visiting Associate Professor, Ritsumeikan University Research Organization of Science and Technology

2024: Associate Professor, Faculty of Science and Engineering Soka University

IEEE, Japanese Society for Artificial Intelligence, Robotics Society of Japan, Institute of Systems, Control and Information Engineers, Society of Instrument and Control Engineers, Information Processing Society of Japan, RoboCup Japan Committee

<Books>

1. "Introduction to AI Robots: Building and Learning with ROS2 and Python", Kosei Demura, Yoshinobu Hagiwara, Yasuhiro Masutani, Jeffrey Tang Chuan, Kodansha, September 1, 2022, ISBN-10: 4065289564
2. "Developmental Robotics Handbook", Book, Authors: Angelo Cangelosi and Matthew Schlesinger, Translated by: Hiroyuki Okada, Tadahiro Taniguchi, Yoshinobu Hagiwara, Naoya Arakawa, Takayuki Nagai, Tetsuya Ogata, Tetsuya Inamura, Naoto Iwahashi, Koumei Sugiura, Takefumi Makino, Fukumura Publishing, January 11, 2019, ISBN-10: 4571230591

＜Original Paper＞

1. Shoichi Hasegawa, Akira Taniguchi, Yoshinobu Hagiwara, Lotfi El Hafi & Tadahiro Taniguchi (2023) Integrating probabilistic logic and multimodal spatial concepts for efficient robotic object search in home environments, SICE Journal of Control, Measurement, and System Integration, 16:1, 400-422, Dec. 2023.
2. Yoshinobu Hagiwara, Kazuma Furukawa, Akira Taniguchi, Tadahiro Taniguchi, “Multiagent Multimodal Categorization for Symbol Emergence: Emergent Communication via Interpersonal Cross-modal Inference”, Advanced Robotics, Vol. 36, Issue 5-6, pp. 239-260, 31 Jan. 2022.
3. Yoshinobu Hagiwara, Keishiro Taguchi, Satoshi Ishibushi, Akira Taniguchi & Tadahiro Taniguchi, “Hierarchical Bayesian model for the transfer of knowledge on spatial concepts based on multimodal information”, Advanced Robotics, Vol. 36, Issue 1-2, pp. 33-53, 25 Nov. 2021.
4. Yoshinobu Hagiwara, Hiroyoshi Kobayashi, Akira Taniguchi, Tadahiro Taniguchi, “Symbol Emergence as an Interpersonal Multimodal Categorization”, Frontiers in Robotics and AI, Vol. 6, Article 134, pp. 1-17, 10 Dec. 2019.
5. T. Taniguchi, D. Mochihashi, T. Nagai, S. Uchida, N. Inoue, T. Nakamura, Y. Hagiwara, N. Iwahashi, T. Inamura, “Survey on frontiers of language and robotics”, Advanced Robotics, Vol. 33, No. 15-16, pp. 700-730, Jan. 2019. [Advanced Robotics Best Survey Paper Award]
6. Yoshinobu Hagiwara, Masakazu Inoue, Hiroyoshi Kobayashi and Tadahiro Taniguchi. “Hierarchical Spatial Concept Formation Based on Multimodal Information for Human Support Robots”, Frontiers in Neurorobotics, Vol. 12, Article 11, pp. 1-16, 13 Mar. 2018.
7. Tetsuya Inamura, Jeffrey Tang, Yoshinobu Hagiwara, Komei Sugiura, Takayuki Nagai, Hiroyuki Okada: "RoboCup@Home Simulation: A Concept and Its Fundamental Technology for Large-Scale Long-Term Interactions," Journal of the Japanese Society for Fuzzy Theory and Intelligent Informatics, Vol. 26, No. 3, pp. 698-709, March 2014.
8. Yoshinobu Hagiwara, Tatsuya Shoji, and Hiroki Imamura, “Position and Rotation Estimation for Mobile Robots in Outside of Recording Path Using Ego-Motion”, Electrical Engineering in Japan, Vol. 187, No. 3, pp. 25-36, Mar. 2014.

<Academic Papers>

1. Yoshinobu Hagiwara, Shoichi Hasegawa, Akira Oyama, Akira Taniguchi, Elhafilotfi, Tadahiro Taniguchi: "Life-related Physics Support Tasks from Ambiguous Utterances Based on Knowledge Learned in the Field," 41st Annual Meeting of the Robotics Society of Japan, Tokyo, September 11-14, 2023, Abstracts of the same meeting, 1J1-05. [HSR Community Excellent Paper Award]
2. Akira Oyama, Shoichi Hasegawa, Hikaru Nakagawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, “Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information,” 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, Korea, pp. 2617-2623, Aug. 2023.
3. S. Hasegawa, A. Taniguchi, Y. Hagiwara, L. El Hafi and T. Taniguchi, "Inferring Place-Object Relationships by Integrating Probabilistic Logic and Multimodal Spatial Concepts," 2023 IEEE/SICE International Symposium on System Integration (SII), Atlanta, GA, USA, Jan. 2023, pp. 1-8. [Best Paper Award] [RoboCup Research Award]
4. Shota Isobe, Akira Taniguchi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, “Learning Relationships between Objects and Places by Multimodal Spatial Concept with Bag of Objects”, The Ninth International Conference on Social Robotics (ICSR 2017), Nov. 2017, pp. 115-125. [Best Interactive Session Finalist]
5. Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, and Tetsunari Inamura, "Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2017), Sept. 2017, pp. 811-818.
6. Yoshinobu Hagiwara, Masakazu Inoue, Tadahiro Taniguchi, “Place Concept Learning by hMLDA Based on Position and Vision Information”, 13th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (IFAC-HMS201, Aug. 30-Sept. 2, 2016, Kyoto, Japan, Vol.49, Issue19, pp.216-220.
7. Satoshi Ishibuse, Akira Taniguchi, Yoshinobu Hagiwara, Toshiaki Takano, and Tadahiro Taniguchi: "Location Estimation and Location Region Learning by MCL Using CNN" SICE Systems and Information Division Academic Conference (SSI2015), November 2015, Hokkaido, Japan. Proceedings of the same conference, pp.1353-1358. [Best Paper Award]
8. Yoshinobu Hagiwara: “Cloud Based VR System with Immersive Interfaces to Collect Multimodal Data in Human-Robot Interaction”, 2015 IEEE 4^th Global Conference on Consumer Electronics (GCCE), Oct, 2015, Osaka (Japan), pp. 256-259. [Invited Talk]