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2020 – today
- 2024
[j16]Yuma Uemura, Riku Narita, Kentarou Kurashige
:
Effective Action Learning Method Using Information Entropy for a Single Robot Under Multi-Agent Control. J. Adv. Comput. Intell. Intell. Informatics 28(2): 273-283 (2024)- 2023
- [j15]Yuya Ono, Kentarou Kurashige, Afiqe Anuar bin Muhammad Nor Hakim, Yuma Sakamoto:
Self-generation of reward by logarithmic transformation of multiple sensor evaluations. Artif. Life Robotics 28(2): 287-294 (2023) - 2022
- [j14]Riku Narita, Kentarou Kurashige:
Multi-Faceted Decision Making Using Multiple Reinforcement Learning to Reducing Wasteful Actions. J. Adv. Comput. Intell. Intell. Informatics 26(4): 504-512 (2022) - [j13]Tomomi Hanagata, Kentarou Kurashige:
Proposal of Decision-Making Method Under Multi-Task Based on Q-Value Weighted by Task Priority. J. Adv. Comput. Intell. Intell. Informatics 26(5): 706-714 (2022) - 2021
- [c32]Masashi Sugimoto, Ryunosuke Uchida, Shinji Tsuzuki, Hitoshi Sori, Hiroyuki Inoue, Kentarou Kurashige, Shiro Urushihara:
An Experimental Study for Tracking Ability of Deep Q-Network under the Multi-Objective Behaviour using a Mobile Robot with LiDAR. ISEEIE 2021: 81-87 - [c31]Riku Narita, Tatsufumi Matsushima, Kentarou Kurashige:
Efficient exploration by switching agents according to degree of convergence of learning on Heterogeneous Multi-Agent Reinforcement Learning in Single Robot. SSCI 2021: 1-6 - [c30]Yuya Ono, Kentarou Kurashige, Afiqe Anuar bin Muhammad Nor Hakim, Sosuke Kondo, Kodai Fukuzawa:
Proposal of Self-generation of Reward for danger avoidance by disregarding specific situations. SSCI 2021: 1-6 - 2020
- [j12]Eriko Sakurai, Kentarou Kurashige, Setsuo Tsuruta, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani, Andrea Kutics, Fulvio Frati:
Embodiment matters: toward culture-specific robotized counselling. J. Reliab. Intell. Environ. 6(3): 129-139 (2020) - [c29]Afiqe Anuar bin Muhammad Nor Hakim, Koudai Fukuzawa, Kentarou Kurashige:
Proposal of Time-based evaluation for Universal Sensor Evaluation Index in Self-generation of Reward. SMC 2020: 1161-1166 - [c28]Takuma Kambayashi, Kentarou Kurashige:
Autonomous decision making by the self-generated priority under multi-task. SSCI 2020: 1879-1885 - [c27]Sosuke Kondo, Kentarou Kurashige:
Self-generation of reward based on sensor value -Improving reward accuracy by associating multiple sensors using Hebb's rule-. SSCI 2020: 1886-1892
2010 – 2019
- 2019
- [j11]Yoshinori Fujihira, Naohiko Hanajima, Kentarou Kurashige, Hidekazu Kajiwara, Masato Mizukami:
Development of Lifting System for High-Elevation Inspection Robot Targeting Hanger Ropes. J. Robotics Mechatronics 31(6): 803-815 (2019) - [j10]Hidekazu Kajiwara, Naohiko Hanajima, Kentarou Kurashige, Yoshinori Fujihira:
Development of Hanger-Rope Inspection Robot for Suspension Bridges. J. Robotics Mechatronics 31(6): 855-862 (2019) - [c26]Yuya Shimoguchi, Kentarou Kurashige:
Decision making on robot with multi-task using deep reinforcement learning for each task. SMC 2019: 3460-3465 - [c25]Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani, Andrea Kutics:
Robotized Counselor Evaluation using Linguistic Detection of Feeling Polarity Change. SSCI 2019: 962-967 - 2018
- [c24]Masaya Ishizuka, Kentarou Kurashige:
Self-Generation of Reward by Inputs from Multi Sensors -Integration of Evaluations for Inputs to Avoid Danger-. MHS 2018: 1-7 - [c23]Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani, Andrea Kutics:
Counseling Robot Implementation and Evaluation. SMC 2018: 1716-1722 - [c22]Yuya Shimoguchi, Shirakura Seiya, Kentarou Kurashige:
Action selection of robot by human intention estimated with dynamic evaluation criterion. SSCI 2018: 1785-1792 - 2017
- [j9]Masashi Sugimoto, Naoya Iwamoto, Robert Weston Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige:
A Study of Predicting Ability in State-Action Pair Prediction: Adaptability to an Almost-Periodic Disturbance. Int. J. Artif. Life Res. 7(1): 52-66 (2017) - [c21]Shirakura Seiya, Takuya Masaki, Masaya Ishizuka, Kentarou Kurashige:
Self-generation of reward by human interaction - Adaptation to multitask by reflecting hope degree for priority. MHS 2017: 1-2 - [c20]Masashi Sugimoto, Kentarou Kurashige:
A study of dynamically adjustment for exploitation action using evaluation of achievement. MHS 2017: 1-2 - [c19]Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani:
Design of Counseling Robot for Production by 3D Printer. SITIS 2017: 56-62 - [c18]Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani:
Context respectful counseling agent integrated with robot nodding for dialog promotion. SMC 2017: 1540-1545 - 2016
- [j8]Takuya Masaki, Kentarou Kurashige:
Decision Making Under Multi Task Based on Priority for Each Task. Int. J. Artif. Life Res. 6(2): 88-97 (2016) - [c17]Yoh Takada, Kentarou Kurashige:
Action Learning to Single Robot Using MARL with Repeated Consultation: Realization of Repeated Consultation Interruption for the Adaptation to Environmental Change. ICIRA (2) 2016: 371-382 - [c16]Masashi Sugimoto, Kentarou Kurashige:
A Study on the Deciding an Action Based on the Future Probabilistic Distribution. ICIRA (2) 2016: 383-394 - [c15]Hanchao Li, Daisuke Harada, Naohiko Hanajima, Hidekazu Kajiwara, Kentarou Kurashige, Yoshinori Fujihira, Masato Mizukami:
Application and performance evaluation of a lifting device with alternating rotation hoist. SII 2016: 385-390 - [c14]Tetsuo Shinozaki, Yukiko Yamamoto, Setsuo Tsuruta, Kentarou Kurashige, Rainer Knauf:
IoT-aware Context Respectful Counseling Agent. SMC 2016: 4729-4736 - 2015
- [j7]Kentarou Kurashige, Kaoru Nikaido:
Self-Generation of Reward by Moderate-Based Index for Senor Inputsvspace. J. Robotics Mechatronics 27(1): 57-63 (2015) - [j6]Masashi Sugimoto, Kentarou Kurashige:
A Study of Effective Prediction Methods of the State-Action Pair for Robot Control Using Online SVR. J. Robotics Mechatronics 27(5): 469-479 (2015) - [c13]Shuhei Chiba, Kentarou Kurashige:
Action learning to single robot using MAS - A proposal of agents action decision method based repeated consultation. ASCC 2015: 1-6 - [c12]Masashi Sugimoto, Kentarou Kurashige:
The proposal for real-time sequential-decision for optimal action using flexible-weight coefficient based on the state-action pair. CEC 2015: 544-551 - [c11]Kentarou Kurashige, Kaoru Nikaido:
Teaching a series of actions by the universal evaluations of each sensory information. CEC 2015: 2341-2346 - 2014
- [c10]Masashi Sugimoto, Kentarou Kurashige:
Real-time sequentially decision for optimal action using prediction of the state-action pair. MHS 2014: 1-6 - [c9]Kentarou Kurashige, Kaoru Nikaido:
Self-generation of reward in reinforcement learning by universal rules of interaction with the external environment. RiiSS 2014: 92-97 - 2013
- [j5]Yasutaka Kishima, Kentarou Kurashige:
Reduction of state space in reinforcement learning by sensor selection. Artif. Life Robotics 18(1-2): 7-14 (2013) - [j4]Yasutaka Kishima, Kentarou Kurashige, Toshihisa Kimura:
Decision Making in Reinforcement Learning Using a Modified Learning Space Based on the Importance of Sensors. J. Sensors 2013: 141353:1-141353:9 (2013) - [c8]Masashi Sugimoto, Kentarou Kurashige:
The proposal for deciding effective action using prediction of internal robot state based on internal state and action. MHS 2013: 1-6 - [c7]Hironori Miura, Kentarou Kurashige:
Proposal of learning method which selects objectives based on the state. RiiSS 2013: 114-119 - [c6]Kaoru Nikaido, Kentarou Kurashige:
Self-Generation of Reward by Sensor Input in Reinforcement Learning. RVSP 2013: 270-273 - 2012
- [j3]Kentarou Kurashige, Naoki Kitayama, Masafumi Kiyohashi:
Proposal of Method "Motion Space" to Express Movement of Robot. J. Adv. Comput. Intell. Intell. Informatics 16(6): 704-712 (2012) - [c5]Yasutaka Kishima, Kentarou Kurashige:
Reduction of state space on reinforcement learning by sensor selection. MHS 2012: 138-143 - 2011
- [c4]Nodoka Shibuya, Yoshiki Miyazaki, Kentarou Kurashige:
Suggestion of probabilistic reward-independent knowledge for dynamic environment in reinforcement learning. MHS 2011: 140-145
2000 – 2009
- 2009
- [c3]Yoshiki Miyazaki, Kentarou Kurashige:
Use of the knowledge which is independence on reward in reinforcement learning. CIRA 2009: 114-119 - 2007
- [c2]Kentarou Kurashige:
A simple rule how to make a reward for learning with human interaction. CIRA 2007: 202-205 - 2003
- [j2]Kentarou Kurashige, Toshio Fukuda, Haruo Hoshino:
Reusing Primitive and Acquired Motion Knowledge for Gait Generation of a Six-legged Robot Using Genetic Programming. J. Intell. Robotic Syst. 38(1): 121-134 (2003) - 2000
- [j1]Kentarou Kurashige, Toshio Fukuda, Haruo Hoshino:
Motion Planning for Six-Legged Locomotion Robot Based on Hierarchical Knowledge Using Genetic Programming. J. Robotics Mechatronics 12(4): 459-465 (2000)
1990 – 1999
- 1999
- [c1]Kentarou Kurashige, Toshio Fukuda, Haruo Hoshino:
Motion Planning Based on Hierarchical Knowledge Using Genetic Programming. ICRA 1999: 2464-2469
Coauthor Index
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