Hiroya Makino
Scholar

Hiroya Makino

Google Scholar ID: lexwTVwAAAAJ
TOYOTA CENTRAL R&D LABS., INC.
Artificial IntelligenceMulti-Agent Path FindingEvolutionary Computing
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Citations & Impact
All-time
Citations
12
 
H-index
2
 
i10-index
0
 
Publications
10
 
Co-authors
0
 
Contact
Emailhiroyamakino@gmail.comTwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
3 items
MAPF-HD: Multi-Agent Path Finding in High-Density Environments
2025
Cited
0
Zero-Shot Visual Concept Blending Without Text Guidance
2025
Cited
0
Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
  • Journal Publications:
  • - Makino, H. & Kita, E. (2024). Stochastic Schemata Exploiter-Based Optimization of Hyper-parameters for XGBoost. Computer Assisted Methods in Engineering and Science, 31(1), 113-132.
  • - Makino, H. & Kita, E. (2023). Application of a Stochastic Schemata Exploiter for Multi-Objective Hyper-parameter Optimization of Machine Learning. The Review of Socionetwork Strategies, 17(2), 179-213.
  • Conference Proceedings (refereed):
  • - Oishi, K., Kato, T., Makino, H., Ito, S. (2025). Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data. In 2025 IEEE International Conference on Robotics and Automation (ICRA), 4915-4921.
  • - Makino, H. & Ito, S. (2024). Online Multi-Agent Pickup and Delivery with Task Deadlines. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 8428-8434.
  • - Makino, H., Ohama, Y., & Ito, S. (2024). MARPF: Multi-Agent and Multi-Rack Path Finding. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 8435-8441.
  • - Takai, A., Makino, H., & Kita, E. (2023). SSE-Based Evolutionary Algorithm for Hyper-parameter Optimization of LightGBM on Paddy Rice Yield Prediction Problem. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 4375-4380.
  • - Makino, H. & Kita, E. (2021). Stochastic Schemata Exploiter-Based AutoML. In 2021 International Conference on Data Mining Workshops (ICDMW), 238-245.
  • - Fujita, M., Yamada, A., Susuki, M., Makino, H. & Kita, E. (2021). Application of Machine Learning for Growth Environment Prediction in Agriculture. In 2021 International Conference on Data Mining Workshops (ICDMW), 208-213.
  • - Makino, H., Feng, X., & Kita, E. (2020). Stochastic Schemata Exploiter-Based Optimization of Convolutional Neural Network. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 4365-4371.
  • arXiv Preprints:
  • - Makino, H., Yamaguchi, T., Sakai, H. (2025). Zero-Shot Visual Concept Blending Without Text Guidance. Under Review.
  • - Makino, H. & Ito, S. (2025). MAPF-HD: Multi-Agent Path Finding in High-Density Environments. Under Review.
  • Conferences, Workshops (non-refereed):
  • - Makino, H., Yamaguchi, T., Sakai, H. (2025). Zero-Shot Visual Concept Blending Without Text Guidance. 2025 Annual Conference of the Japanese Society for Artificial Intelligence (39th).
  • - Makino, H. (2024). Multi-Agent Path Finding in High-Density Environments. 2024 Multi-Agent and Multi-Robot Planning Workshop.
  • - Makino, H., Ito, S. (2024). Multi-Agent Path Finding in High-Density Environments. 148th Mathematical Modeling and Problem Solving Symposium.
  • - Makino, H., Ito, S. (2024). Multi-Agent Pickup and Delivery with Task Deadlines. 2024 Annual Conference of the Japanese Society for Artificial Intelligence (38th).
  • - Makino, H., Ohama, Y., Ito, S., Yogo, K. (2023). Multi-Agent and Multi-Rack Path Finding. 41st Robotics Society of Japan Academic Lecture Meeting.
  • - Makino, H., Ohama, Y., Ito, S. (2023). Multi-Agent Pickup and Delivery Considering Charging. 143rd Mathematical Modeling and Problem Solving Symposium.
  • - Makino, H., Kita, E. (2022). Stochastic Schemata Exploiter-Based AutoML. 137th Mathematical Modeling and Problem Solving Symposium.
  • Awards:
  • - Academic Excellence Award (2017, School of Informatics and Sciences, Nagoya University)
  • - Academic Excellence Award (2018, School of Informatics and Sciences, Nagoya University)
  • - Academic Achievement Award (2020, School of Informatics and Sciences, Nagoya University)
  • - Best Presentation Award (2023, Information Processing Society of Japan, Mathematical Modeling and Problem Solving Symposium)
  • - Best Presentation Award (2024, Information Processing Society of Japan, Mathematical Modeling and Problem Solving Symposium)
  • - IPSJ Computer Science Research Award for Young Scientists (2025, Information Processing Society of Japan)
  • Memberships:
  • - Information Processing Society of Japan
  • Academic Activities:
  • - Session Chair: RSJ2023
  • - Reviewer: IEEE ICRA2025, IEEE RA-L
Research Experience
  • 2020/4-2022/3 Assistant Technical Staff (Nagoya University, Japan)
  • 2020/8-2020/9 Support Engineer Intern (Microsoft, Japan)
Education
  • 2016/4-2020/3 School of Informatics and Sciences, Nagoya University (Japan), top graduate
  • 2020/4-2022/3 Graduate School of Informatics, Nagoya University (Japan)
Background
  • A researcher in the area of Computer Science; Research interests include Multi-Agent Path Planning, Evolutionary Computing, and Artificial Intelligence.
Miscellany
  • Non-Academic Activities:
  • - 2017/2 - present: Member of Mensa
Co-authors
0 total
Co-authors: 0 (list not available)