Toshiyuki Yasuda

发表

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

1A1-M02 Cluster Analysis of Group Behavior in Swarm Robotic Systems : Approach of Complex Networks(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Chikara Morishita, 2011 .

Apply incremental evolution with CMA-NeuroES controller for a robust swarm robotics system

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014, 2014 Proceedings of the SICE Annual Conference (SICE).

An evolutionary approach to sudoku puzzles with filtered mutations

Kazuhiro Ohkura, Toshiyuki Yasuda, Zhiwen Wang, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Generating Cooperative Collective Behavior in Swarm Robotic Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, J. Adv. Comput. Intell. Intell. Informatics.

Application of R3Q for Medium-Grained Task with Nonuniform Computational Granularity

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012 .

1A1-D11 Implementating Island Real-Coded Genetic Algorithms with GPU Computing(Evolution and Learning for Robotics(1))

Kazuhiro Ohkura, Toshiyuki Yasuda, Naoki Shimatani, 2012 .

Cooperative Transport by a Swarm Robotic System Based on CMA-NeuroES Approach

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, J. Adv. Comput. Intell. Intell. Informatics.

1A1-O10 Preservation and Application of Acquired Knowledge for Improving a Robustness of Multi-Robot Systems(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2011 .

Autonomous Role Assignment in Homogeneous Multi-Robot Systems(Multi-agent and Learning,Session: TP2-A)

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2004 .

1A1-O04 The analysis of Cooperative Behavior in Reinforcement Learning Multi-Robot Box-Pushing Tasks by using Shaping(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Masanori Munechika, 2011 .

Robust Swarm Robotics System Using CMA-NeuroES with Incremental Evolution

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2007, ECAL.

Collective Behavior Analysis in Swarm Robotics Systems Based on the Ethological Approach

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014 .

Autonomous Role Assignment in a Homogeneous Multi-Robot System

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2005, J. Robotics Mechatronics.

2P1-I06 Cooperative Behavior Acquisition of a Robotic Swarm Based on Ensemble Reinforcement Learning(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013 .

Hidden Layer Structure of EANN in Swarm Robotic Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Yukihiko Kotani, 2010 .

1A1-D10 Cooperative Behavior Acquisition with Reinforcement Learning Robots Based on the Mechanism of Selecting the State Space Representations(Evolution and Learning for Robotics(1))

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2012 .

Multi-robot Cooperation Based on Continuous Reinforcement Learning with Two State Space Representations

Kazuhiro Ohkura, Toshiyuki Yasuda, Kazuaki Yamada, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

2P1-I07 Analysis of Collective Behavior based on Ethology in Foraging Problem(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Nanami Wada, 2013 .

Improving the Robustness of Instance-based Reinforcement Learning Robots by Metalearning

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2010, SOCO 2010.

Adaptive role assignment for self-organized flocking of a real robotic swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Masaki Kadota, 2016, Artificial Life and Robotics.

2A2-J03 Experiments for Generating Flocking Behavior of a Real Robotic Swarm(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Akitoshi Adachi, 2014 .

2A2-D16 Experiments on Cooperative Behavior of Arm-Type Robot with a Human Partner : an Approach by Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Shuhei Sakimoto, 2009 .

3930 Behavior Acquisition of an Autonomous Robot Based on Reinforcement Learning with a Function of Adaptive Segmentation of the Action Space

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2005 .

A Method of Analyzing Collective Behavior in a Swarm Robotic System Based on Clustering

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012 .

Accelerating steady-state genetic algorithms based on CUDA architecture

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Evolving autonomous specialization in congested path formation task of robotic swarms

Kazuhiro Ohkura, Toshiyuki Yasuda, Motoaki Hiraga, 2018, Artificial Life and Robotics.

A levy flight-based hybrid artificial bee colony algorithm for solving numerical optimization problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Development of a Hand-Up Request Motion Model Based on Analysis of Hand-Up Motion Between Humans

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2018, 2018 Second IEEE International Conference on Robotic Computing (IRC).

Improving the Robustness of Instance-Based Reinforcement Learning for Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, 2006 .

GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014, ANTS Conference.

2A2-D14 Convergence behavior acquisition based on reinforcement learning ability of BRL for autonomous mobile robots

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2009 .

A swarm robotics approach to cooperative package-pushing problems with evolving recurrent neural networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2010, Proceedings of SICE Annual Conference 2010.

Collective cognition: A case study of evolutionary swarm robotics in the collective foraging problem with poison

Kazuhiro Ohkura, Toshiyuki Yasuda, Yufei Wei, 2017, 2017 IEEE/SICE International Symposium on System Integration (SII).

Hybrid Optimization Based on Classical Evolution Strategies and Particle Swarm Optimization Applies to Car Racing Problem

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2010 .

Self-Organized Task Allocation between Reinforcement Learning Robots and a Human Partner

Kazuhiro Ohkura, Toshiyuki Yasuda, Soichiro Nomura, 2012 .

Design for a Multi-Robot System based on Embodied Cognition

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2003 .

A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2015, Biosyst..

Hug Behavior Request Model with Approaching Human for Hug Robots

Toshiyuki Yasuda, Tohru Sasaki, Shunsuke Ota, 2019, ICSR.

Evolving robot controllers for a homogeneous robotic swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).

A duration based behavior analyze approach for swarm robotics system

Kazuhiro Ohkura, Toshiyuki Yasuda, Tian Yu, 2015, 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Response threshold-based task allocation in a reinforcement learning robotic swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Koki Kage, 2014, 2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA).

Evolutionary swarm robotics approach to a pursuit problem

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014, 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS).

Road area detection method based on DBNN for robot navigation using single camera in outdoor environments

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2018, Ind. Robot.

A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2008, SAB.

Development of nodding detection using neural network based on communication characteristics

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

2A2-D10 Acquirement of Surrounding Behavior for Connected Autonomous Mobile Robots based on Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Jumpei Kakehi, 2009 .

Self-organized flocking in mobile robots based on frontal interaction and leadership rules

Toshiyuki Yasuda, Akitoshi Adachi, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Multi-Robot Systems, Trends and Development

Toshiyuki Yasuda, T. Yasuda, 2011 .

Preservation and Utilization of Reinforcement Learning Robot's Strategies Using Probablistic Networks

Kazuhiro Ohkura, Toshiyuki Yasuda, 2007 .

Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Motoaki Hiraga, 2018, J. Adv. Comput. Intell. Intell. Informatics.

2P1-G08 The analysis of the function differentiation process in a Reinforcement Learning Two Arm-Type Robots Cooperating with a Human Partner

Kazuhiro Ohkura, Toshiyuki Yasuda, Shuhei Sakimoto, 2010 .

Consideration Regarding Reduction of the Reality Gap in Evolutionary Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Motoaki Hiraga, 2016 .

1A1-E11 Generation of flocking behavior in autonomous mobile robots based on self-propelled particles model(Evolution and Learning for Robotics(1))

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiki Sasatani, 2012 .

A self adaptive hybrid artificial bee colony algorithm for solving CEC 2013 real-parameter optimization problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

2A2-J06 Collective Behavior Acquisition of a Robotic Swarm Based on Incremental Evolution in a Cooperative Food Foraging Task(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014 .

MBEANN: Mutation-Based Evolving Artificial Neural Networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2007, ECAL.

Coordinating the Collective Behavior of Swarm Robotics Systems Based on Incremental Evolution

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Implementation Method of Genetic Algorithms to the CUDA Environment using Data Parallelization

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

2P2-G09 Analyzing the Specialization Process of Arm-Type Robots that Perform Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Shuhei Sakimoto, 2008 .

Reinforcement learning based on a mechanism of selecting state space representations in multi-robot systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Kazuaki Yamada, 2018 .

Cluster Analysis of Collective Behavior for a Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012, IAS.

Wheelchair robot navigation in different weather conditions using deep learning and evolved neural controller

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2019, Ind. Robot.

2P2-G07 Behavior acquisition of an autonomous mobile robot that passes through a narrow route

Kazuhiro Ohkura, Toshiyuki Yasuda, Reiichiro Imoto, 2008 .

IMPLEMENTING GENETIC ALGORITHMS TO CUDA ENVIRONMENT USING DATA PARALLELIZATION

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

2P1-G09 Incremental Behavior Acquisition using BRL in Multi-Robot Box-Pushing Tasks

Kazuhiro Ohkura, Toshiyuki Yasuda, Masanori Munechika, 2010 .

An Improved Hybrid Artificial Bee Colony Algorithm for Solving Real Parameter Optimization Problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2015 .

Improving the Robustness of Reinforcement Learning for a Multi-Robot System Environment

Kazuhiro Ohkura, Toshiyuki Yasuda, 2005, WSTST.

Extracting functional subgroups from an evolutionary robotic swarm by identifying the community structure

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012, 2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC).

Collective Behavior Acquisition of Real Robotic Swarms Using Deep Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2018, 2018 Second IEEE International Conference on Robotic Computing (IRC).

2A2-F24 Application to the learning convergence index of the rule ignition entropy for meta learning in reinforcement learning ability of BRL

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2010 .

Cooperative Behavior Acquisition of Multi-Robot Systems Based on Reinforcement Learning in Continuous Space

Kazuhiro Ohkura, Toshiyuki Yasuda, 2013 .

Behavior sequence analysis of incrementally evolving robotic swarms in a foraging task

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

適応DEにおける確率的なパラメータ調整法とその評価;適応DEにおける確率的なパラメータ調整法とその評価;Introducing a Stochastic Parameter Control Method to an Adaptive Differential Evolution

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

Generating and analyzing hierarchical interaction in a flock of robotic swarms

Kazuhiro Ohkura, Toshiyuki Yasuda, 2018, Artificial Life and Robotics.

Preservation and Application of Acquired Knowledge Using Instance-based Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2010 .

Coordinating Adaptive Behavior for Swarm Robotics Based on Topology and Weight Evolving Artificial Neural Networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

Development of measurement point detection method for cephalometric analysis using deep learning

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2020 .

Analyzing macroscopic behavior in a swarm robotic system based on clustering

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011, SICE Annual Conference 2011.

1P1-S-066 Behavior Acquisition of a Multi-Robot System Based on Reinforcement Learning with a Function of Adaptive Segmentation of the Action Space(Evolution and Learning for Robotics 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2005 .

Community Extraction of Complex Networks in the Textile-Related Trade for Industries Pertaining to Dyeing and Finishing

Kazuhiro Ohkura, Toshiyuki Yasuda, Masayuki Takatera, 2013 .

Evaluation of Generation Alternation Models in Evolutionary Robotics

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2009, IWNC.

321 Generalization capability of TWEANN in cooperative package pushing problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Tomoya Matsuda, 2009 .

1A1-M12 Implementation Method of Steady-state GA on the CUDA Environment(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

Coordinating the adaptive behavior for swarm robotic systems by using topology and weight evolving artificial neural networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2010, IEEE Congress on Evolutionary Computation.

2A1-K08 Effects of Input-Output Configurations for Flocking Behavior of a Real Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Shigehito Nakatani, 2015 .

Fast Road Detection Methods on a Large Scale Dataset for Assisting Robot Navigation Using Kernel Principal Component Analysis and Deep Learning

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2018, 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

A (μ, λ) evolutionary and particle swarm hybrid algorithm, with an application to dinosaur gait optimization

Todd C. Pataky, Kazuhiro Ohkura, Toshiyuki Yasuda, 2013, 2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA).

Swarm robot control by evolving artificial neural networks with small world topologies

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2008 .

Cooperative behavior acquisition mechanism for a multi-robot system based on reinforcement learning in continuous space

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Instance-Based Reinforcement Learning Technique with a Meta-learning Mechanism for Robust Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Motohiro Wada, 2011, TAROS.

2A1-M06 Verification Experiments for Improving the Incremental Learning Ability of BRL with Arm-Type Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Junpei Kakehi, 2007 .

Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Proceedings in Adaptation, Learning and Optimization

Kazuhiro Ohkura, Toshiyuki Yasuda, Yufei Wei, 2016, IES.

GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014 .

A homogeneous mobile robot team that is fault-tolerant

Kazuhiro Ohkura, Toshiyuki Yasuda, Kanji Ueda, 2006, Adv. Eng. Informatics.

Improving the Robustness of Instance-Based Reinforcement Learning Robots by Metalearning

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2011, J. Adv. Comput. Intell. Intell. Informatics.

(μ, λ) evolutionary and particle swarm hybrid algorithm over cloud computing, with an application to dinosaur gait optimization

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

Development of robot navigation method based on single camera vision using deep learning

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Development of a hug request motion model during active approach to human

Toshiyuki Yasuda, Tohru Sasaki, Shunsuke Ota, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Self-organized flocking of a mobile robot swarm by topological distance-based interactions

Kazuhiro Ohkura, Toshiyuki Yasuda, Akitoshi Adachi, 2014, 2014 IEEE/SICE International Symposium on System Integration.

Development of hand-up response motion model in with and without voice greeting environment

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

1A1-P03 Acquisition of cooperative behavior with human for autonomous robots by reinforcement learning : Validation of environmental robustness(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Soichiro Nomura, 2011 .

Analyzing collective behavior in evolutionary swarm robotic systems based on an ethological approach

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Extended Particle Swarm Optimization by Partial Randomization for a Multi-Robot System

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2010 .

2A1-E20 Cooperative Behavior Acquisition Based on Reinforcement Learning for Autonomous Mobile Robots with Omniwheels

Kazuhiro Ohkura, Toshiyuki Yasuda, Hisayuki Hiramatsu, 2006 .

Evaluation of initial position estimation based on position and color information for self-location estimation of mobile robot using ICP

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2021, The Proceedings of Conference of Hokuriku-Shinetsu Branch.

Development of gripping position estimation method by transfer learning for handling robot

Toshiyuki Yasuda, Shunsuke Ota, Mitsuru Jindai, 2021, The Proceedings of Conference of Hokuriku-Shinetsu Branch.

Centralized Business-to-Business Networks in the Japanese Textile and Apparel Industry: Using Network Analysis and an Agent-Based Model

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2019, J. Robotics Mechatronics.