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ORCIDToshiyuki Yasuda
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Journal Articles
- 2024
[j17]Isamu Bungo, Tomohiro Hayakawa, Toshiyuki Yasuda:
Investigation of a single object shape for efficient learning in bin picking of multiple types of objects. Artif. Life Robotics 29(2): 372-379 (2024)- 2023
- [j16]Asad Razzaq
, Tomohiro Hayakawa, Toshiyuki Yasuda:
Evolutionary Design of Cooperative Transport Behavior for a Heterogeneous Robotic Swarm. J. Robotics Mechatronics 35(4): 1007-1015 (2023) - 2019
- [j15]K. M. Ibrahim Khalilullah, Shunsuke Ota, Toshiyuki Yasuda, Mitsuru Jindai:
Wheelchair robot navigation in different weather conditions using deep learning and evolved neural controller. Ind. Robot 46(1): 146-158 (2019) - [j14]Toshiyuki Yasuda, Kazuhiro Ohkura:
Sharing Experience for Behavior Generation of Real Swarm Robot Systems Using Deep Reinforcement Learning. J. Robotics Mechatronics 31(4): 520-525 (2019) - [j13]Yusaku Ogai, Yoshiyuki Matsumura, Yusuke Hoshino, Toshiyuki Yasuda, Kazuhiro Ohkura:
Centralized Business-to-Business Networks in the Japanese Textile and Apparel Industry: Using Network Analysis and an Agent-Based Model. J. Robotics Mechatronics 31(4): 546-557 (2019) - 2018
- [j12]Toshiyuki Yasuda, Kazuhiro Ohkura:
Generating and analyzing hierarchical interaction in a flock of robotic swarms. Artif. Life Robotics 23(4): 481-488 (2018) - [j11]Motoaki Hiraga, Yufei Wei, Toshiyuki Yasuda, Kazuhiro Ohkura:
Evolving autonomous specialization in congested path formation task of robotic swarms. Artif. Life Robotics 23(4): 547-554 (2018) - [j10]K. M. Ibrahim Khalilullah, Shunsuke Ota, Toshiyuki Yasuda, Mitsuru Jindai:
Road area detection method based on DBNN for robot navigation using single camera in outdoor environments. Ind. Robot 45(2): 275-286 (2018) - [j9]Motoaki Hiraga, Toshiyuki Yasuda, Kazuhiro Ohkura:
Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm. J. Adv. Comput. Intell. Intell. Informatics 22(5): 621-628 (2018) - 2016
- [j8]Toshiyuki Yasuda, Shigehito Nakatani, Akitoshi Adachi, Masaki Kadota, Kazuhiro Ohkura:
Adaptive role assignment for self-organized flocking of a real robotic swarm. Artif. Life Robotics 21(4): 405-410 (2016) - 2015
- [j7]Hai Shan, Toshiyuki Yasuda, Kazuhiro Ohkura:
A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems. Biosyst. 132-133: 43-53 (2015) - 2013
- [j6]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
Generating Cooperative Collective Behavior in Swarm Robotic Systems. J. Adv. Comput. Intell. Intell. Informatics 17(5): 699-706 (2013) - [j5]Tian Yu, Toshiyuki Yasuda, Kazuhiro Ohkura, Yoshiyuki Matsumura, Masanori Goka:
Cooperative Transport by a Swarm Robotic System Based on CMA-NeuroES Approach. J. Adv. Comput. Intell. Intell. Informatics 17(6): 932-942 (2013) - 2011
- [j4]Toshiyuki Yasuda, Kousuke Araki, Kazuhiro Ohkura:
Improving the Robustness of Instance-Based Reinforcement Learning Robots by Metalearning. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1065-1072 (2011) - [j3]Junki Sakanoue, Toshiyuki Yasuda, Kazuhiro Ohkura:
Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1109-1115 (2011) - 2006
- [j2]Toshiyuki Yasuda, Kazuhiro Ohkura, Kanji Ueda:
A homogeneous mobile robot team that is fault-tolerant. Adv. Eng. Informatics 20(3): 301-311 (2006) - 2005
- [j1]Toshiyuki Yasuda, Kazuhiro Ohkura:
Autonomous Role Assignment in a Homogeneous Multi-Robot System. J. Robotics Mechatronics 17(5): 596-604 (2005)
Conference and Workshop Papers
- 2019
- [c30]Mitsuru Jindai, Shunsuke Ota, Toshiyuki Yasuda, Tohru Sasaki:
Hug Behavior Request Model with Approaching Human for Hug Robots. ICSR 2019: 247-255 - 2018
- [c29]Toshiyuki Yasuda, Kazuhiro Ohkura:
Collective Behavior Acquisition of Real Robotic Swarms Using Deep Reinforcement Learning. IRC 2018: 179-180 - [c28]Shunsuke Ota, Toshiyuki Yasuda, Mitsuru Jindai, Yoshihiro Sejima:
Development of a Hand-Up Request Motion Model Based on Analysis of Hand-Up Motion Between Humans. IRC 2018: 228-231 - 2017
- [c27]Yufei Wei, Toshiyuki Yasuda, Kazuhiro Ohkura:
Collective cognition: A case study of evolutionary swarm robotics in the collective foraging problem with poison. SII 2017: 865-686 - [c26]Mitsuru Jindai, Shunsuke Ota, Toshiyuki Yasuda, Tohru Sasaki, Yoshihiro Sejima:
Development of a hug request motion model during active approach to human. SMC 2017: 612-617 - 2016
- [c25]Yufei Wei, Toshiyuki Yasuda, Kazuhiro Ohkura:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 469-481 - 2015
- [c24]Zhiwen Wang, Toshiyuki Yasuda, Kazuhiro Ohkura:
An evolutionary approach to sudoku puzzles with filtered mutations. CEC 2015: 1732-1737 - 2014
- [c23]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, Masaki Kadota:
GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems. ANTS Conference 2014: 238-245 - [c22]Hai Shan, Toshiyuki Yasuda, Kazuhiro Ohkura:
A levy flight-based hybrid artificial bee colony algorithm for solving numerical optimization problems. IEEE Congress on Evolutionary Computation 2014: 2656-2663 - [c21]Toshiyuki Yasuda, Kazuhiro Ohkura, Tosei Nomura, Yoshiyuki Matsumura:
Evolutionary swarm robotics approach to a pursuit problem. RiiSS 2014: 129-134 - [c20]Toshiyuki Yasuda, Akitoshi Adachi:
Self-organized flocking in mobile robots based on frontal interaction and leadership rules. SCIS&ISIS 2014: 594-599 - 2013
- [c19]Yoshiyuki Matsumura, Ayumu Kobayashi, Kiyotaka Sugiyama, Todd C. Pataky, Toshiyuki Yasuda, Kazuhiro Ohkura, Bill Sellers:
A (μ, λ) evolutionary and particle swarm hybrid algorithm, with an application to dinosaur gait optimization. IWCIA 2013: 89-93 - [c18]Toshiyuki Yasuda, Nanami Wada, Kazuhiro Ohkura, Yoshiyuki Matsumura:
Analyzing collective behavior in evolutionary swarm robotic systems based on an ethological approach. ADPRL 2013: 148-155 - [c17]Hai Shan, Toshiyuki Yasuda, Kazuhiro Ohkura:
A self adaptive hybrid artificial bee colony algorithm for solving CEC 2013 real-parameter optimization problems. SII 2013: 706-711 - [c16]Toshiyuki Yasuda, Kazuhiro Ohkura, Nanami Wada, Yoshiyuki Matsumura:
Behavior sequence analysis of incrementally evolving robotic swarms in a foraging task. SII 2013: 790-795 - [c15]Yoshiyuki Matsumura, Kiyotaka Sugiyama, Toshiyuki Yasuda, Kazuhiro Ohkura:
(μ, λ) evolutionary and particle swarm hybrid algorithm over cloud computing, with an application to dinosaur gait optimization. SII 2013: 802-807 - [c14]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
Coordinating the Collective Behavior of Swarm Robotics Systems Based on Incremental Evolution. SMC 2013: 4024-4029 - [c13]Toshiyuki Yasuda, Kazuhiro Ohkura, Kazuaki Yamada:
Multi-robot Cooperation Based on Continuous Reinforcement Learning with Two State Space Representations. SMC 2013: 4470-4475 - 2012
- [c12]Kazuhiro Ohkura, Toshiyuki Yasuda, Chikara Morishita, Yoshiyuki Matsumura:
Cluster Analysis of Collective Behavior for a Robotic Swarm. IAS (2) 2012: 883-891 - [c11]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
Extracting functional subgroups from an evolutionary robotic swarm by identifying the community structure. NaBIC 2012: 112-117 - [c10]Takaaki Kadota, Toshiyuki Yasuda, Yoshiyuki Matsumura, Kazuhiro Ohkura:
An incremental approach to an evolutionary robotic swarm. SII 2012: 458-463 - 2011
- [c9]Masashi Oiso, Toshiyuki Yasuda, Kazuhiro Ohkura, Yoshiyuki Matsumura:
Accelerating steady-state genetic algorithms based on CUDA architecture. IEEE Congress on Evolutionary Computation 2011: 687-692 - [c8]Toshiyuki Yasuda, Motohiro Wada, Kazuhiro Ohkura:
Instance-Based Reinforcement Learning Technique with a Meta-learning Mechanism for Robust Multi-Robot Systems. TAROS 2011: 161-172 - 2010
- [c7]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
Coordinating the adaptive behavior for swarm robotic systems by using topology and weight evolving artificial neural networks. IEEE Congress on Evolutionary Computation 2010: 1-8 - 2009
- [c6]Masashi Oiso, Yoshiyuki Matsumura, Toshiyuki Yasuda, Kazuhiro Ohkura:
Evaluation of Generation Alternation Models in Evolutionary Robotics. IWNC 2009: 268-275 - 2008
- [c5]Toshiyuki Yasuda, Kazuhiro Ohkura:
A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System. SAB 2008: 250-259 - 2007
- [c4]Toshiyuki Yasuda, Kazuhiro Ohkura:
Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems. ECAL 2007: 325-334 - [c3]Kazuhiro Ohkura, Toshiyuki Yasuda, Yuichi Kawamatsu, Yoshiyuki Matsumura, Kanji Ueda:
MBEANN: Mutation-Based Evolving Artificial Neural Networks. ECAL 2007: 936-945 - 2005
- [c2]Toshiyuki Yasuda, Kazuhiro Ohkura:
Improving the Robustness of Reinforcement Learning for a Multi-Robot System Environment. WSTST 2005: 263-272 - 2003
- [c1]Toshiyuki Yasuda, Kazuhiro Ohkura, Toshiharu Taura:
Cooperative behavior acquisition mechanism for a multi-robot system based on reinforcement learning in continuous space. CIRA 2003: 1539-1544
Coauthor Index
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