Consolidated Adaptive T-soft Update for Deep Reinforcement Learning.
Taisuke Kobayashi.
In
IEEE World Congress on Computational Intelligence, 2024. Yokohama, Japan
(2061205 at IJCNN S6_31)
Paper
link
bibtex
@inproceedings{kobayashiWCCI2024,
author = {Taisuke Kobayashi},
title = {Consolidated Adaptive T-soft Update for Deep Reinforcement Learning},
booktitle = {IEEE World Congress on Computational Intelligence},
year = {2024},
organization = {Yokohama, Japan},
url={https://arxiv.org/abs/2202.12504},
note = {(2061205 at IJCNN S6_31)}
}
% meta-opt mbrl
Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning.
Takumi Aotani; and Taisuke Kobayashi.
In
IEEE/SICE International Symposium on System Integration, pages 959–964, 2024. Ha Long, Vietnam
(WedCT2.3)
link
bibtex
@inproceedings{aotaniSII2024,
author = {Takumi Aotani and Taisuke Kobayashi},
title = {Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning},
booktitle = {IEEE/SICE International Symposium on System Integration},
year = {2024},
pages = {959--964},
note = {(WedCT2.3)},
organization = {Ha Long, Vietnam}
}
% mode bc
Autonomous Driving from Diverse Demonstrations with Implicit Selection of Optimal Mode.
Taisuke Kobayashi; and Yusuke Takeda.
In
IEEE/SICE International Symposium on System Integration, pages 441–446, 2024. Ha Long, Vietnam
(TueCM1.1)
link
bibtex
@inproceedings{kobayashiSII2024mode,
author = {Taisuke Kobayashi and Yusuke Takeda},
title = {Autonomous Driving from Diverse Demonstrations with Implicit Selection of Optimal Mode},
booktitle = {IEEE/SICE International Symposium on System Integration},
year = {2024},
pages = {441--446},
note = {(TueCM1.1)},
organization = {Ha Long, Vietnam},
}
% tsallis bc
Autonomous Driving of Personal Mobility by Imitation Learning from Small and Noisy Dataset.
Taisuke Kobayashi; and Takahito Enomoto.
In
IEEE/SICE International Symposium on System Integration, pages 404–409, 2024. Ha Long, Vietnam
(TueCK1.6)
Paper
link
bibtex
@inproceedings{kobayashiSII2024tsallis,
author = {Taisuke Kobayashi and Takahito Enomoto},
title = {Autonomous Driving of Personal Mobility by Imitation Learning from Small and Noisy Dataset},
booktitle = {IEEE/SICE International Symposium on System Integration},
year = {2024},
pages = {404--409},
note = {(TueCK1.6)},
url={https://arxiv.org/abs/2111.14294},
organization = {Ha Long, Vietnam},
youtube={https://youtu.be/KEq8-bOxYQA},
}
%AIP 2023/11
Oocyte Rotation Assistance System Using AI Trained on the Micromanipulations of a Skilled Operator.
Ryoya Mori; Tadayoshi Aoyama; Taisuke Kobayashi; Kazuya Sakamoto; Masaru Takeuchi; and Yasuhisa Hasegawa.
In
IEEE International Symposium on Micro-NanoMechatronics and Human Science, Nov. 2023. Nagoya, Japan
link
bibtex
@inproceedings{moriMHS2023,
author = {Ryoya Mori and Tadayoshi Aoyama and Taisuke Kobayashi and Kazuya Sakamoto and Masaru Takeuchi and Yasuhisa Hasegawa},
title = {Oocyte Rotation Assistance System Using AI Trained on the Micromanipulations of a Skilled Operator},
booktitle = {IEEE International Symposium on Micro-NanoMechatronics and Human Science},
year = {2023},
month = {Nov.},
organization = {Nagoya, Japan}
}
%DaO 2023/10
Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness.
Wendyam Eric Lionel Ilboudo; Taisuke Kobayashi; and Takamitsu Matsubara.
In
IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 5622–5629, 2023. Detroit, Michigan, USA
(TuAT17.7)
doi
link
bibtex
@inproceedings{ilboudoIROS2023,
author = {Wendyam Eric Lionel Ilboudo and Taisuke Kobayashi and Takamitsu Matsubara},
title = {Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2023},
pages = {5622--5629},
note={(TuAT17.7)},
organization = {Detroit, Michigan, USA},
doi = {10.1109/IROS55552.2023.10342236},
}
%MDIK 2023/07
Mirror-Descent Inverse Kinematics for Box-constrained Joint Space.
Taisuke Kobayashi; and Takanori Jin.
In
World Congress of the International Federation of Automatic Control, pages 321–326, Jul. 2023. Yokohama, Japan
(MoA11.4)
Paper
link
bibtex
@inproceedings{kobayashiIFAC2023,
author = {Taisuke Kobayashi and Takanori Jin},
title = {Mirror-Descent Inverse Kinematics for Box-constrained Joint Space},
booktitle = {World Congress of the International Federation of Automatic Control},
year = {2023},
pages = {321--326},
month = {Jul.},
url={https://arxiv.org/abs/2101.07625},
note={(MoA11.4)},
organization = {Yokohama, Japan},
youtube={https://youtu.be/GFO6trmgbn8},
}
%L2C2 2022/10
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning.
Taisuke Kobayashi.
In
IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 4032–4039, Oct. 2022. Kyoto, Japan
(MoC-16.3), SICE International Young Authors Award (SIYA-IROS2022)
Paper
doi
link
bibtex
@inproceedings{kobayashiIROS2022,
author = {Taisuke Kobayashi},
title = {L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2022},
pages = {4032--4039},
month = {Oct.},
url={https://arxiv.org/abs/2202.07152},
note={(MoC-16.3), SICE International Young Authors Award (SIYA-IROS2022)},
organization = {Kyoto, Japan},
doi = {10.1109/IROS47612.2022.9981812},
youtube={https://youtu.be/MROqXNw0xXY},
}
%intentional terminal state 2022/10
Intentional Underestimation at Terminal State in Reinforcement Learning.
Taisuke Kobayashi.
In
ISCIE International Symposium on Stochastic Systems Theory and Its Applications, pages 33–34, Oct. 2022. Nara, Japan
(1C1-1)
link
bibtex
@inproceedings{kobayashiSSS2022,
author = {Taisuke Kobayashi},
title = {Intentional Underestimation at Terminal State in Reinforcement Learning},
booktitle = {{ISCIE} International Symposium on Stochastic Systems Theory and Its Applications},
year = {2022},
pages = {33--34},
month = {Oct.},
note = {(1C1-1)},
organization = {Nara, Japan},
}
%demand response 2022/09
Study on Hierarchical Reinforcement Learning for Demand Response Product Rollout.
Tatsuya Shimizu; Taisuke Kobayashi; and Takamitsu Matsubara.
In
SICE Annual Conference, pages 114–117, Sep. 2022. Kumamoto, Japan
(WeA06.1)
link
bibtex
@inproceedings{shimizuSICE2022,
author = {Tatsuya Shimizu and Taisuke Kobayashi and Takamitsu Matsubara},
title = {Study on Hierarchical Reinforcement Learning for Demand Response Product Rollout},
booktitle = {{SICE} Annual Conference},
year = {2022},
pages = {114--117},
month = {Sep.},
note = {(WeA06.1)},
organization = {Kumamoto, Japan},
}
%at-adam 2021/10
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning.
Wendyam Eric Lionel Ilboudo; Taisuke Kobayashi; and Kenji Sugimoto.
In
IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 7828–7834, Sep. 2021. Prague, Czech Republic (online)
Paper
doi
link
bibtex
@inproceedings{ilboudoIROS2021,
author = {Wendyam Eric Lionel Ilboudo and Taisuke Kobayashi and Kenji Sugimoto},
title = {Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2021},
month = {Sep.},
pages = {7828--7834},
organization = {Prague, Czech Republic (online)},
url={https://arxiv.org/abs/2108.00625},
doi = {10.1109/IROS51168.2021.9636413},
youtube={https://youtu.be/FfW_moT1-wU},
}
% adaptive eligibility traces 2021/6
Adaptive Eligibility Traces for Online Deep Reinforcement Learning.
Taisuke Kobayashi.
In
International Conference on Intelligent Autonomous Systems, pages 407–418, Jun. 2021. Singapore (online)
Paper
link
bibtex
@inproceedings{kobayashiIAS2021,
author = {Taisuke Kobayashi},
title = {Adaptive Eligibility Traces for Online Deep Reinforcement Learning},
booktitle = {International Conference on Intelligent Autonomous Systems},
year = {2021},
month = {Jun.},
pages = {407--418},
organization = {Singapore (online)},
url={https://arxiv.org/abs/2010.03290}
}
% PPO-RPE 2021/6
Proximal Policy Optimization with Relative Pearson Divergence.
Taisuke Kobayashi.
In
IEEE International Conference on Robotics and Automation, pages 8416–8421, Jun. 2021. Xi'an, China (with online)
(TuBT5)
Paper
doi
link
bibtex
@inproceedings{kobayashiICRA2021,
author = {Taisuke Kobayashi},
title = {Proximal Policy Optimization with Relative Pearson Divergence},
booktitle = {IEEE International Conference on Robotics and Automation},
year = {2021},
pages = {8416--8421},
month = {Jun.},
note = {(TuBT5)},
organization = {Xi'an, China (with online)},
url={https://arxiv.org/abs/2010.03290},
doi = {10.1109/ICRA48506.2021.9560856},
}
% deep-unfolding 2021/03/03
Towards Deep Robot Learning with Optimizer Applicable to Non-Stationary Problems.
Taisuke Kobayashi.
In
IEEE/SICE International Symposium on System Integration, pages 190–194, Jan. 2021. Fukushima, Japan (Online)
(TuD2.5)
Paper
link
bibtex
@inproceedings{kobayashiSII2021,
author = {Taisuke Kobayashi},
title = {Towards Deep Robot Learning with Optimizer Applicable to Non-Stationary Problems},
booktitle = {IEEE/SICE International Symposium on System Integration},
year = {2021},
pages = {190--194},
month = {Jan.},
note = {(TuD2.5)},
organization = {Fukushima, Japan (Online)},
url={https://arxiv.org/abs/2007.15890}
}
% BCO-BDM 2021/01/12
Behavioral Cloning from Observation with Bi-Directional Dynamics Model.
Betz Tobias; Hidehito Fujiishi; and Taisuke Kobayashi.
In
IEEE/SICE International Symposium on System Integration, pages 184–189, Jan. 2021. Fukushima, Japan (Online)
(TuD2.4)
link
bibtex
@inproceedings{tobiasSII2021,
author = {Betz Tobias and Hidehito Fujiishi and Taisuke Kobayashi},
title = {Behavioral Cloning from Observation with Bi-Directional Dynamics Model},
booktitle = {IEEE/SICE International Symposium on System Integration},
year = {2021},
pages = {184--189},
month = {Jan.},
note = {(TuD2.4)},
organization = {Fukushima, Japan (Online)}
}
%Dance with me 2019/10/17
Continual Learning Exploiting Structure of Fractal Reservoir Computing.
Taisuke Kobayashi; and Toshiki Sugino.
In
International Conference on Artificial Neural Networks, volume 5, pages 35–47, Sep. 2019. Munich, Germany
link
bibtex
@inproceedings{kobayashiICANN2019frc,
title={Continual Learning Exploiting Structure of Fractal Reservoir Computing},
author={Kobayashi, Taisuke and Sugino, Toshiki},
booktitle={International Conference on Artificial Neural Networks},
volume={5},
pages={35--47},
year={2019},
month = {Sep.},
organization = {Munich, Germany}
}
%VaDE-RT 2019/9/18
Variational Deep Embedding with Regularized Student-t Mixture Model.
Taisuke Kobayashi.
In
International Conference on Artificial Neural Networks, volume 3, pages 443–455, Sep. 2019. Munich, Germany
link
bibtex
@inproceedings{kobayashiICANN2019vadert,
title={Variational Deep Embedding with Regularized Student-t Mixture Model},
author={Kobayashi, Taisuke},
booktitle={International Conference on Artificial Neural Networks},
volume={3},
pages={443--455},
year={2019},
month = {Sep.},
organization = {Munich, Germany}
}
%Hyperbolic discounting 2019/8/20
Hyperbolically-Discounted Reinforcement Learning on Reward-Punishment Framework.
Taisuke Kobayashi.
In
Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, pages 99–100, Aug. 2019. Oslo, Norway
(Paper Abstracts)
Paper
link
bibtex
@inproceedings{kobayashiICDL2019hyperbolic,
author = {Taisuke Kobayashi},
title = {Hyperbolically-Discounted Reinforcement Learning on Reward-Punishment Framework},
booktitle = {Joint IEEE International Conference on Development and Learning and Epigenetic Robotics},
year = {2019},
pages = {99--100},
month = {Aug.},
note = {(Paper Abstracts)},
organization = {Oslo, Norway},
url = {https://arxiv.org/abs/2106.01516}
}
%RP-AC 2019/8/20
Reward-Punishment Actor-Critic Algorithm Applying to Robotic Non-grasping Manipulation.
Taisuke Kobayashi; Takumi Aotani; Julio Rogelio Guadarrama-Olvera; Emmanuel Dean-Leon; and Gordon Cheng.
In
Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, pages 37–42, Aug. 2019. Oslo, Norway
link
bibtex
@inproceedings{kobayashiICDL2019rpac,
author = {Taisuke Kobayashi and Takumi Aotani and Julio Rogelio Guadarrama-Olvera and Emmanuel Dean-Leon and Gordon Cheng},
title = {Reward-Punishment Actor-Critic Algorithm Applying to Robotic Non-grasping Manipulation},
booktitle = {Joint IEEE International Conference on Development and Learning and Epigenetic Robotics},
year = {2019},
pages = {37--42},
month = {Aug.},
organization = {Oslo, Norway}
}
% motion classification 2019/01
Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation.
Takumi Aotani; Taisuke Kobayashi; and Kenji Sugimoto.
In
IEEE International Conference on Systems, Man, and Cybernetics, pages 3580–3585, Oct. 2018. Miyazaki, Japan
(13252)
link
bibtex
@inproceedings{aotaniSMC2018,
author = {Takumi Aotani and Taisuke Kobayashi and Kenji Sugimoto},
title = {Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation},
booktitle = {IEEE International Conference on Systems, Man, and Cybernetics},
year = {2018},
pages = {3580--3585},
month = {Oct.},
note = {(13252)},
organization = {Miyazaki, Japan}
}
%FLRC 2018/10/5
Practical Fractional-Order Neuron Dynamics for Reservoir Computing.
Taisuke Kobayashi.
In
International Conference on Artificial Neural Networks, volume 3, pages 116–125, Oct. 2018. Rhodes, Greece
link
bibtex
@inproceedings{kobayashiICANN2018flrc,
title={Practical Fractional-Order Neuron Dynamics for Reservoir Computing},
author={Kobayashi, Taisuke},
booktitle={International Conference on Artificial Neural Networks},
volume={3},
pages={116--125},
year={2018},
month = {Oct.},
organization = {Rhodes, Greece}
}
%Check 2018/10/5
Learning of Correlation in Decentralized Robots with Individual Tasks.
Takumi Aotani; Taisuke Kobayashi; and Kenji Sugimoto.
In
SICE Annual Conference, pages 662–665, Sep. 2018. Nara, Japan
(ThA04.6)
link
bibtex
@inproceedings{aotaniSICE2018,
author = {Takumi Aotani and Taisuke Kobayashi and Kenji Sugimoto},
title = {Learning of Correlation in Decentralized Robots with Individual Tasks},
booktitle = {{SICE} Annual Conference},
year = {2018},
pages = {662--665},
month = {Sep.},
note = {(ThA04.6)},
organization = {Nara, Japan}
}
%fractal reservoir 2018/9
Continual Learning using Modularity of Structured Reservoir Computing.
Toshiki Sugino; Taisuke Kobayashi; and Kenji Sugimoto.
In
SICE Annual Conference, pages 650–653, Sep. 2018. Nara, Japan
(ThA04.3)
link
bibtex
@inproceedings{suginoSICE2018,
author = {Toshiki Sugino and Taisuke Kobayashi and Kenji Sugimoto},
title = {Continual Learning using Modularity of Structured Reservoir Computing},
booktitle = {{SICE} Annual Conference},
year = {2018},
pages = {650--653},
month = {Sep.},
note = {(ThA04.3)},
organization = {Nara, Japan}
}
%energy harvester 2018/7 (no pages?)
Biomechanical Energy Harvester with Continuously Variable Transmission: Prototyping and Preliminary Evaluation.
Yutaro Ikawa; Taisuke Kobayashi; and Takamitsu Matsubara.
In
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pages 1045–1050, Jul 2018. Auckland, New Zealand
(ThAT1.2)
link
bibtex
@inproceedings{ikawaAIM2018,
author = {Yutaro Ikawa and Taisuke Kobayashi and Takamitsu Matsubara},
title = {Biomechanical Energy Harvester with Continuously Variable Transmission: Prototyping and Preliminary Evaluation},
booktitle = {IEEE/ASME International Conference on Advanced Intelligent Mechatronics},
year = {2018},
pages = {1045--1050},
month = {Jul},
note = {(ThAT1.2)},
organization = {Auckland, New Zealand}
}
%R3 2016/11/28
Modeling of the High-Speed Running Humanoid Robot.
Tomoro Ota; Kenichi Ohara; Akihiko Ichikawa; Taisuke Kobayashi; Yasuhisa Hasegawa; and Toshio Fukuda.
In
IEEE International Symposium on Micro-NanoMechatronics and Human Science, pages 112–113, Nov. 2016. Nagoya, Japan
(MP-2-2-5)
link
bibtex
@inproceedings{otaMHS2016,
author = {Tomoro Ota and Kenichi Ohara and Akihiko Ichikawa and Taisuke Kobayashi and Yasuhisa Hasegawa and Toshio Fukuda},
title = {Modeling of the High-Speed Running Humanoid Robot},
booktitle = {IEEE International Symposium on Micro-NanoMechatronics and Human Science},
year = {2016},
pages = {112--113},
month = {Nov.},
note = {(MP-2-2-5)},
organization = {Nagoya, Japan}
}
%Q-PDAC 2016/10/13
Quasi-Passive Dynamic Autonomous Control to Enhance Horizontal and Turning Gait Speed Control.
Taisuke Kobayashi; Kosuke Sekiyama; Yasuhisa Hasegawa; Tadayoshi Aoyama; and Toshio Fukuda.
In
IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 5612–5617, Oct. 2016. Daejeon, Korea
(ThCT4.4)
link
bibtex
@inproceedings{kobayashiIROS2016,
author = {Taisuke Kobayashi and Kosuke Sekiyama and Yasuhisa Hasegawa and Tadayoshi Aoyama and Toshio Fukuda},
title = {Quasi-Passive Dynamic Autonomous Control to Enhance Horizontal and Turning Gait Speed Control},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2016},
pages = {5612--5617},
month = {Oct.},
note = {(ThCT4.4)},
organization = {Daejeon, Korea}
}
%UBG 2016/5/17
Unified Bipedal Gait for Walking and Running by Dynamics-based Virtual Holonomic Constraint in PDAC.
Taisuke Kobayashi; Yasuhisa Hasegawa; Kosuke Sekiyama; Tadayoshi Aoyama; and Toshio Fukuda.
In
IEEE International Conference on Robotics and Automation, pages 1769–1775, May 2016. Stockholm, Sweden
(TuDbT1.3)
link
bibtex
@inproceedings{kobayashiICRA2016,
author = {Taisuke Kobayashi and Yasuhisa Hasegawa and Kosuke Sekiyama and Tadayoshi Aoyama and Toshio Fukuda},
title = {Unified Bipedal Gait for Walking and Running by Dynamics-based Virtual Holonomic Constraint in {PDAC}},
booktitle = {IEEE International Conference on Robotics and Automation},
year = {2016},
pages = {1769--1775},
month = {May},
note = {(TuDbT1.3)},
organization = {Stockholm, Sweden}
}
%PDAC running 2015/11/20?
Dynamics-based Virtual Holonomic Constraint for PDAC Running.
Taisuke Kobayashi; Tadayoshi Aoyama; Yasuhisa Hasegawa; Kosuke Sekiyama; and Toshio Fukuda.
In
IEEE International Symposium on Micro-NanoMechatronics and Human Science, pages 41–42, Nov. 2015. Nagoya, Japan
(MP-13)
link
bibtex
@inproceedings{kobayashiMHS2015,
author = {Taisuke Kobayashi and Tadayoshi Aoyama and Yasuhisa Hasegawa and Kosuke Sekiyama and Toshio Fukuda},
title = {Dynamics-based Virtual Holonomic Constraint for {PDAC} Running},
booktitle = {IEEE International Symposium on Micro-NanoMechatronics and Human Science},
year = {2015},
pages = {41--42},
month = {Nov.},
note = {(MP-13)},
organization = {Nagoya, Japan}
}
%Su-SAL 2015/5
Optimal Use of Arm-Swing for Bipedal Walking Control.
Taisuke Kobayashi; Kosuke Sekiyama; Tadayoshi Aoyama; Yasuhisa Hasegawa; and Toshio Fukuda.
In
IEEE International Conference on Robotics and Automation, pages 5698–5703, May 2015. Seattle, USA
(FrP1T6.7)
link
bibtex
@inproceedings{kobayashiICRA2015,
author = {Taisuke Kobayashi and Kosuke Sekiyama and Tadayoshi Aoyama and Yasuhisa Hasegawa and Toshio Fukuda},
title = {Optimal Use of Arm-Swing for Bipedal Walking Control},
booktitle = {IEEE International Conference on Robotics and Automation},
year = {2015},
pages = {5698--5703},
month = {May},
note = {(FrP1T6.7)},
organization = {Seattle, USA}
}
%Us-SAL 2014/11/20?
Optimal Selection of Cane Usage with Humanoid Robot.
Taisuke Kobayashi; Kosuke Sekiyama; Tadayoshi Aoyama; Yasuhisa Hasegawa; and Toshio Fukuda.
In
IEEE-RAS International Conference on Humanoid Robots, pages 199–204, Nov. 2014. Madrid, Spain
(WedI1-T6.5)
link
bibtex
@inproceedings{kobayashiICHR2014,
author = {Taisuke Kobayashi and Kosuke Sekiyama and Tadayoshi Aoyama and Yasuhisa Hasegawa and Toshio Fukuda},
title = {Optimal Selection of Cane Usage with Humanoid Robot},
booktitle = {IEEE-RAS International Conference on Humanoid Robots},
year = {2014},
pages = {199--204},
month = {Nov.},
note = {(WedI1-T6.5)},
organization = {Madrid, Spain}
}
%Su-SAL 2014/11/10?
Support of COG Trajectory Tracking by Arm-Swing with Bipedal Walking.
Taisuke Kobayashi; Kosuke Sekiyama; Tadayoshi Aoyama; Yasuhisa Hasegawa; and Toshio Fukuda.
In
IEEE International Symposium on Micro-NanoMechatronics and Human Science, pages 150–152, Nov. 2014. Nagoya, Japan
(MP2-2-5)
link
bibtex
@inproceedings{kobayashiMHS2014,
author = {Taisuke Kobayashi and Kosuke Sekiyama and Tadayoshi Aoyama and Yasuhisa Hasegawa and Toshio Fukuda},
title = {Support of COG Trajectory Tracking by Arm-Swing with Bipedal Walking},
booktitle = {IEEE International Symposium on Micro-NanoMechatronics and Human Science},
year = {2014},
pages = {150--152},
month = {Nov.},
note = {(MP2-2-5)},
organization = {Nagoya, Japan}
}
%Hi-SAL 2013/11/11?
Bipedal Walking by Humanoid Robot with Cane —Preventive Usage of Cane based on Impulse Force.
Taisuke Kobayashi; Tadayoshi Aoyama; Masafumi Sobajima; Kosuke Sekiyama; and Toshio Fukuda.
In
IEEE International Symposium on Micro-NanoMechatronics and Human Science, pages 54–59, Nov. 2013. Nagoya, Japan
(MP-10)
link
bibtex
@inproceedings{kobayashiMHS2013,
author = {Taisuke Kobayashi and Tadayoshi Aoyama and Masafumi Sobajima and Kosuke Sekiyama and Toshio Fukuda},
title = {Bipedal Walking by Humanoid Robot with Cane ---Preventive Usage of Cane based on Impulse Force},
booktitle = {IEEE International Symposium on Micro-NanoMechatronics and Human Science},
year = {2013},
pages = {54--59},
month = {Nov.},
note = {(MP-10)},
organization = {Nagoya, Japan}
}
%Ga/Sp-SAL 2013/11/3?
Bipedal Walking Control of Humanoid Robots by Arm-Swing.
Masafumi Sobajima; Taisuke Kobayashi; Kosuke Sekiyama; and Toshio Fukuda.
In
SICE Annual Conference, pages 313–318, Sep. 2013. Nagoya, Japan
(SuAT13.5)
link
bibtex
@inproceedings{sobajimaSICE2013,
author = {Masafumi Sobajima and Taisuke Kobayashi and Kosuke Sekiyama and Toshio Fukuda},
title = {Bipedal Walking Control of Humanoid Robots by Arm-Swing},
booktitle = {{SICE} Annual Conference},
year = {2013},
pages = {313--318},
month = {Sep.},
note = {(SuAT13.5)},
organization = {Nagoya, Japan}
}
%PDAC with DSP and swing leg retraction 2014/11-12
Stability Enhancement of 3-D Biped Walking based on Passive Dynamic Autonomous Control.
Tadayoshi Aoyama; Kosuke Sekiyama; Zhiguo Lu; Taisuke Kobayashi; Yasuhisa Hasegawa; and Toshio Fukuda.
In
IEEE-RAS International Conference on Humanoid Robots, pages 443–448, Nov. 2012. Osaka, Japan
(FrP4T1.19)
link
bibtex
@inproceedings{aoyamaICHR2012,
author = {Tadayoshi Aoyama and Kosuke Sekiyama and Zhiguo Lu and Taisuke Kobayashi and Yasuhisa Hasegawa and Toshio Fukuda},
title = {Stability Enhancement of {3-D} Biped Walking based on Passive Dynamic Autonomous Control},
booktitle = {IEEE-RAS International Conference on Humanoid Robots},
year = {2012},
pages = {443--448},
month = {Nov.},
note = {(FrP4T1.19)},
organization = {Osaka, Japan}
}
%Sp-SAL 2012/11
Stabilization and Moving Efficiency Improvement by Adjustment of Moving Speed in Single Locomotion.
Taisuke Kobayashi; Tadayoshi Aoyama; Kosuke Sekiyama; and Toshio Fukuda.
In
IEEE International Symposium on Micro-NanoMechatronics and Human Science, pages 325–330, Nov. 2012. Nagoya, Japan
(TA2-2-7)
link
bibtex
@inproceedings{kobayashiMHS2012,
author = {Taisuke Kobayashi and Tadayoshi Aoyama and Kosuke Sekiyama and Toshio Fukuda},
title = {Stabilization and Moving Efficiency Improvement by Adjustment of Moving Speed in Single Locomotion},
booktitle = {IEEE International Symposium on Micro-NanoMechatronics and Human Science},
year = {2012},
pages = {325--330},
month = {Nov.},
note = {(TA2-2-7)},
organization = {Nagoya, Japan}
}
%梯子下り 2012/10
Optimal Control of Energetically Efficient Ladder Decent Motion with Internal Stress Adjustment Using Key Joint Method.
Zhiguo Lu; Kosuke Sekiyama; Tadayoshi Aoyama; Yasuhisa Hasegawa; Taisuke Kobayashi; and Toshio Fukuda.
In
IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2216–2221, Oct. 2012. Algarve, Portugal
(TueBT5.3)
link
bibtex
@inproceedings{luIROS2012,
author = {Zhiguo Lu and Kosuke Sekiyama and Tadayoshi Aoyama and Yasuhisa Hasegawa and Taisuke Kobayashi and Toshio Fukuda},
title = {Optimal Control of Energetically Efficient Ladder Decent Motion with Internal Stress Adjustment Using Key Joint Method},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2012},
pages = {2216--2221},
month = {Oct.},
note = {(TueBT5.3)},
organization = {Algarve, Portugal}
}
%Ga-SAL 2012/10
Locomotion Selection of Multi-Locomotion Robot based on Falling Risk and Moving Efficiency.
Taisuke Kobayashi; Tadayoshi Aoyama; Kosuke Sekiyama; Zhiguo Lu; Yasuhisa Hasegawa; and Toshio Fukuda.
In
IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2869–2874, Oct. 2012. Vilamoura, Portugal
(TueDT7.4)
link
bibtex
@inproceedings{kobayashiIROS2012,
author = {Taisuke Kobayashi and Tadayoshi Aoyama and Kosuke Sekiyama and Zhiguo Lu and Yasuhisa Hasegawa and Toshio Fukuda},
title = {Locomotion Selection of Multi-Locomotion Robot based on Falling Risk and Moving Efficiency},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2012},
pages = {2869--2874},
month = {Oct.},
note = {(TueDT7.4)},
organization = {Vilamoura, Portugal}
}
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