Motion Planning Based on Hierarchical Knowledge Using Genetic Programming. - Kentarou Kurashige; Toshio Fukuda; Haruo Hoshino (ICRA, 1999)

Motion Planning for Six-Legged Locomotion Robot Based on Hierarchical Knowledge Using Genetic Programming. - Kentarou Kurashige; Toshio Fukuda; Haruo Hoshino (J. Robotics Mechatronics, 2000)

Reusing Primitive and Acquired Motion Knowledge for Gait Generation of a Six-legged Robot Using Genetic Programming. - Kentarou Kurashige; Toshio Fukuda; Haruo Hoshino (J. Intell. Robotic Syst., 2003)

A simple rule how to make a reward for learning with human interaction. - Kentarou Kurashige (CIRA, 2007)

Use of the knowledge which is independence on reward in reinforcement learning. - Yoshiki Miyazaki; Kentarou Kurashige (CIRA, 2009)

Suggestion of probabilistic reward-independent knowledge for dynamic environment in reinforcement learning. - Nodoka Shibuya; Yoshiki Miyazaki; Kentarou Kurashige (MHS, 2011)

Proposal of Method "Motion Space" to Express Movement of Robot. - Kentarou Kurashige; Naoki Kitayama; Masafumi Kiyohashi (J. Adv. Comput. Intell. Intell. Informatics, 2012)

The proposal for deciding effective action using prediction of internal robot state based on internal state and action. - Masashi Sugimoto; Kentarou Kurashige (MHS, 2013)

Proposal of learning method which selects objectives based on the state. - Hironori Miura; Kentarou Kurashige (RiiSS, 2013)

Self-Generation of Reward by Sensor Input in Reinforcement Learning. - Kaoru Nikaido; Kentarou Kurashige (RVSP, 2013)

Reduction of state space in reinforcement learning by sensor selection. - Yasutaka Kishima; Kentarou Kurashige (Artif. Life Robotics, 2013)

Decision Making in Reinforcement Learning Using a Modified Learning Space Based on the Importance of Sensors. - Yasutaka Kishima; Kentarou Kurashige; Toshihisa Kimura (J. Sensors, 2013)

Real-time sequentially decision for optimal action using prediction of the state-action pair. - Masashi Sugimoto; Kentarou Kurashige (MHS, 2014)

Self-generation of reward in reinforcement learning by universal rules of interaction with the external environment. - Kentarou Kurashige; Kaoru Nikaido (RiiSS, 2014)

Action learning to single robot using MAS - A proposal of agents action decision method based repeated consultation. - Shuhei Chiba; Kentarou Kurashige (ASCC, 2015)

Teaching a series of actions by the universal evaluations of each sensory information. - Kentarou Kurashige; Kaoru Nikaido (CEC, 2015)

The proposal for real-time sequential-decision for optimal action using flexible-weight coefficient based on the state-action pair. - Masashi Sugimoto; Kentarou Kurashige (CEC, 2015)

Self-Generation of Reward by Moderate-Based Index for Senor Inputsvspace. - Kentarou Kurashige; Kaoru Nikaido (J. Robotics Mechatronics, 2015)

A Study of Effective Prediction Methods of the State-Action Pair for Robot Control Using Online SVR. - Masashi Sugimoto; Kentarou Kurashige (J. Robotics Mechatronics, 2015)

A Study on the Deciding an Action Based on the Future Probabilistic Distribution. - Masashi Sugimoto; Kentarou Kurashige (ICIRA (2), 2016)

Action Learning to Single Robot Using MARL with Repeated Consultation: Realization of Repeated Consultation Interruption for the Adaptation to Environmental Change. - Yoh Takada; Kentarou Kurashige (ICIRA (2), 2016)

Application and performance evaluation of a lifting device with alternating rotation hoist. - Hanchao Li; Daisuke Harada; Naohiko Hanajima; Hidekazu Kajiwara; Kentarou Kurashige; Yoshinori Fujihira; Masato Mizukami (SII, 2016)

IoT-aware Context Respectful Counseling Agent. - Tetsuo Shinozaki; Yukiko Yamamoto; Setsuo Tsuruta; Kentarou Kurashige; Rainer Knauf (SMC, 2016)

Decision Making Under Multi Task Based on Priority for Each Task. - Takuya Masaki; Kentarou Kurashige (Int. J. Artif. Life Res., 2016)

Self-generation of reward by human interaction - Adaptation to multitask by reflecting hope degree for priority. - Shirakura Seiya; Takuya Masaki; Masaya Ishizuka; Kentarou Kurashige (MHS, 2017)

A study of dynamically adjustment for exploitation action using evaluation of achievement. - Masashi Sugimoto; Kentarou Kurashige (MHS, 2017)

Design of Counseling Robot for Production by 3D Printer. - Kentarou Kurashige; Setsuo Tsuruta; Eriko Sakurai; Yoshitaka Sakurai; Rainer Knauf; Ernesto Damiani (SITIS, 2017)

Context respectful counseling agent integrated with robot nodding for dialog promotion. - Kentarou Kurashige; Setsuo Tsuruta; Eriko Sakurai; Yoshitaka Sakurai; Rainer Knauf; Ernesto Damiani (SMC, 2017)

A Study of Predicting Ability in State-Action Pair Prediction: Adaptability to an Almost-Periodic Disturbance. - Masashi Sugimoto; Naoya Iwamoto; Robert Weston Johnston; Keizo Kanazawa; Yukinori Misaki; Kentarou Kurashige (Int. J. Artif. Life Res., 2017)

Self-Generation of Reward by Inputs from Multi Sensors -Integration of Evaluations for Inputs to Avoid Danger-. - Masaya Ishizuka; Kentarou Kurashige (MHS, 2018)

Counseling Robot Implementation and Evaluation. - Kentarou Kurashige; Setsuo Tsuruta; Eriko Sakurai; Yoshitaka Sakurai; Rainer Knauf; Ernesto Damiani; Andrea Kutics (SMC, 2018)

Action selection of robot by human intention estimated with dynamic evaluation criterion. - Yuya Shimoguchi; Shirakura Seiya; Kentarou Kurashige (SSCI, 2018)

Decision making on robot with multi-task using deep reinforcement learning for each task. - Yuya Shimoguchi; Kentarou Kurashige (SMC, 2019)

Robotized Counselor Evaluation using Linguistic Detection of Feeling Polarity Change. - Kentarou Kurashige; Setsuo Tsuruta; Eriko Sakurai; Yoshitaka Sakurai; Rainer Knauf; Ernesto Damiani; Andrea Kutics (SSCI, 2019)

Development of Lifting System for High-Elevation Inspection Robot Targeting Hanger Ropes. - Yoshinori Fujihira; Naohiko Hanajima; Kentarou Kurashige; Hidekazu Kajiwara; Masato Mizukami (J. Robotics Mechatronics, 2019)

Development of Hanger-Rope Inspection Robot for Suspension Bridges. - Hidekazu Kajiwara; Naohiko Hanajima; Kentarou Kurashige; Yoshinori Fujihira (J. Robotics Mechatronics, 2019)

Proposal of Time-based evaluation for Universal Sensor Evaluation Index in Self-generation of Reward. - Afiqe Anuar bin Muhammad Nor Hakim; Koudai Fukuzawa; Kentarou Kurashige (SMC, 2020)

Autonomous decision making by the self-generated priority under multi-task. - Takuma Kambayashi; Kentarou Kurashige (SSCI, 2020)

Self-generation of reward based on sensor value -Improving reward accuracy by associating multiple sensors using Hebb's rule-. - Sosuke Kondo; Kentarou Kurashige (SSCI, 2020)

Embodiment matters: toward culture-specific robotized counselling. - Eriko Sakurai; Kentarou Kurashige; Setsuo Tsuruta; Yoshitaka Sakurai; Rainer Knauf; Ernesto Damiani; Andrea Kutics; Fulvio Frati (J. Reliab. Intell. Environ., 2020)

An Experimental Study for Tracking Ability of Deep Q-Network under the Multi-Objective Behaviour using a Mobile Robot with LiDAR. - Masashi Sugimoto; Ryunosuke Uchida; Shinji Tsuzuki; Hitoshi Sori; Hiroyuki Inoue; Kentarou Kurashige; Shiro Urushihara (ISEEIE, 2021)

Efficient exploration by switching agents according to degree of convergence of learning on Heterogeneous Multi-Agent Reinforcement Learning in Single Robot. - Riku Narita; Tatsufumi Matsushima; Kentarou Kurashige (SSCI, 2021)

Proposal of Self-generation of Reward for danger avoidance by disregarding specific situations. - Yuya Ono; Kentarou Kurashige; Afiqe Anuar bin Muhammad Nor Hakim; Sosuke Kondo; Kodai Fukuzawa (SSCI, 2021)

Proposal of Decision-Making Method Under Multi-Task Based on Q-Value Weighted by Task Priority. - Tomomi Hanagata; Kentarou Kurashige (J. Adv. Comput. Intell. Intell. Informatics, 2022)

Multi-Faceted Decision Making Using Multiple Reinforcement Learning to Reducing Wasteful Actions. - Riku Narita; Kentarou Kurashige (J. Adv. Comput. Intell. Intell. Informatics, 2022)

Self-generation of reward by logarithmic transformation of multiple sensor evaluations. - Yuya Ono; Kentarou Kurashige; Afiqe Anuar bin Muhammad Nor Hakim; Yuma Sakamoto (Artif. Life Robotics, 2023)

Effective Action Learning Method Using Information Entropy for a Single Robot Under Multi-Agent Control. - Yuma Uemura; Riku Narita; Kentarou Kurashige (J. Adv. Comput. Intell. Intell. Informatics, 2024)