文献リスト - 山口明彦 (Robotics Institute，CMU)

投稿論文
査読付き国際会議
解説記事
招待講演
査読無し会議
書籍
学位論文

投稿論文†

Akihiko Yamaguchi, and Christopher G. Atkeson:
Tactile Behaviors with the Vision-Based Tactile Sensor FingerVision,
International Journal of Humanoid Robotics, Vol.16, No.03, 2019. [final-draft] [World Scientific]
Akihiko Yamaguchi, and Christopher G. Atkeson:
Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?,
Advanced Robotics, Vol.33, No.14, pp.661-673, 2019.
DOI:10.1080/01691864.2019.1632222 [final-draft] [Taylor & Francis]
山口明彦, 高松淳, 池田篤俊, 吉川雅博, 松原崇充, 神原誠之, 小笠原司:
課題発掘型学習を中心とするロボット教育の大学院向けカリキュラム,
日本ロボット学会誌, Vol.34, No.9, pp.615-622, 2016. [final-draft+col-figs] [JRSJ]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Asymmetric Velocity Moderation for human-safe robot control,
Advanced Robotics, Vol.29, No.17, pp.1111-1125, Sep, 2015. [Taylor & Francis]
Akihiko Yamaguchi, Christopher G. Atkeson, and Tsukasa Ogasawara:
Pouring Skills with Planning and Learning Modeled from Human Demonstrations,
International Journal of Humanoid Robotics, Vol.12, No.3, pp.1550030, July, 2015. [final-draft+col-figs] [World Scientific] [Video]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
DCOB: Action space for reinforcement learning of high DoF robots,
Autonomous Robots, Vol.34, No.4, pp.327-346, May, 2013. [PDF] [Springer] [Video]
山口明彦, 高松淳, 小笠原司:
強化学習によるロボットの動作獲得のための基底関数に基づく行動空間生成手法,
日本ロボット学会誌, Vol.29, No.1, pp.55-66, 2011. [PDF]
山口明彦, 杉本徳和, 川人光男:
回避行動の再利用メカニズムを備えた強化学習手法と多関節ロボットの全身運動学習への応用,
日本ロボット学会誌, Vol.27, No.2, pp.209-220, 2009. [PDF]

査読付き国際会議†

Akihiko Yamaguchi:
FingerVision for Tactile Behaviors, Manipulation, and Haptic Feedback Teleoperation,
in Proceedings of the IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2018), IS2-4, Adachi-ku, Tokyo, Japan, March 6, 2018. [PDF]
Akihiko Yamaguchi and Christopher G. Atkeson:
Implementing Tactile Behaviors Using FingerVision,
in Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robots (Humanoids2017), Birmingham, UK, 2017. [final-draft] [Video]
Akihiko Yamaguchi and Christopher G. Atkeson:
Optical Skin For Robots: Tactile Sensing And Whole-Body Vision,
in the RSS17 Workshop on Tactile Sensing for Manipulation, Robotics: Science and Systems, Massachusetts, USA, 2017. [pdf]
Akihiko Yamaguchi and Christopher G. Atkeson:
Stereo Vision of Liquid and Particle Flow for Robot Pouring,
in Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids2016), Cancun, Mexico, 2016. [final-draft] [Video]
Akihiko Yamaguchi and Christopher G. Atkeson:
Combining Finger Vision and Optical Tactile Sensing: Reducing and Handling Errors While Cutting Vegetables,
in Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids2016), Cancun, Mexico, 2016. [final-draft] [Video]
Akihiko Yamaguchi and Christopher G. Atkeson:
Differential Dynamic Programming for Graph-Structured Dynamical Systems: Generalization of Pouring Behavior with Different Skills,
in Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids2016), Cancun, Mexico, 2016. [final-draft] [Video]
Akihiko Yamaguchi and Christopher G. Atkeson:
Model-based Reinforcement Learning with Neural Networks on Hierarchical Dynamic System,
in the workshop on Deep Reinforcement Learning: Frontiers and Challenges in the 25th International Joint Conference on Artificial Intelligence (IJCAI2016), New York, 2016. [final-draft] [Slides]
Akihiko Yamaguchi and Christopher G. Atkeson:
Neural Networks and Differential Dynamic Programming for Reinforcement Learning Problems,
in Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA2016), pp. 5434-5441, Stockholm, Sweden, May, 2016. [final-draft] [Video]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Human Safety Index based on Impact Severity and Human Behavior Estimation,
in Proceedings of the 2nd International Conference on Mechatronics and Robotics Engineering (ICMRE 2016), Nice, 2016.
Akihiko Yamaguchi and Christopher G. Atkeson:
Differential Dynamic Programming with Temporally Decomposed Dynamics,
in Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots (Humanoids2015), pp. 696-703, Seoul, 2015. [final-draft] [Video]
Akihiko Yamaguchi and Christopher G. Atkeson:
A Representation for General Pouring Behavior,
in the workshop on SPAR in the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2015), Hamburg, 2015. [pdf]
Akihiko Yamaguchi, Masahiro Oshita, Jun Takamatsu, and Tsukasa Ogasawara:
Experimental Verification of Learning Strategy Fusion for Varying Environments,
in Proceedings of the 10th ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts (HRI2015), pp. 171-172, Portland, 2015. [final-draft] [ACM]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Human Safety and Efficiency of a Robot Controlled by Asymmetric Velocity Moderation,
in Proceedings of the 10th ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts (HRI2015), pp. 183-184, Portland, 2015.
Akihiko Yamaguchi, Christopher G. Atkeson, Scott Niekum, and Tsukasa Ogasawara:
Learning Pouring Skills from Demonstration and Practice,
in Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids2014), pp. 908-915, Madrid, 2014. [final-draft]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Extended Asymmetric Velocity Moderation: a reactive strategy for Human-Safe Robot Control,
in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO2013), pp. 450-455, Shenzhen, December, 2013. [IEEE]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Learning Strategy Fusion for Acquiring Crawling Behavior in Multiple Environments,
in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO2013), pp. 605-612, Shenzhen, December, 2013. [final-draft] [IEEE]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Withdrawal Strategy for human Safety based on a Virtual Force Model,
in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2013), pp. 1119-1124, Tokyo, November 4, 2013. [IEEE]
Akihiko Yamaguchi, and Tsukasa Ogasawara:
A Novel Robot-Task-Description for a Variety of Dynamic Behaviors,
in Proceedings of the 2012 IEEE/SICE International Symposium on System Integration (SII2012), pp.86-92, Fukuoka, Japan, December 16, 2012. [final-draft]
Akihiko Yamaguchi, Shiori Sato, Kentaro Takemura, Jun Takamatsu, and Tsukasa Ogasawara:
Style Translation Filter to Change Attribute of Motion,
in Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids2012), pp.660-665, Osaka, Japan, December 1, 2012. [final-draft]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Asymmetric Velocity Moderation: a Reactive Strategy for Human Safety,
in Proceedings of the 10th IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR2012), 56 (S7A-2), Texas, US, November 7, 2012.
Emarc Magtanong, Akihiko Yamaguchi, Kentaro Takemura, Jun Takamatsu, and Tsukasa Ogasawara:
Inverse Kinematics Solver for Android Faces with Elastic Skin,
Latest Advances in Robot Kinematics, pp.181-188, Innsbruck, Austria, June 26, 2012. [final-draft]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Learning Strategy Fusion to Acquire Dynamic Motion,
in Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids2011), pp.247-254, Bled, Slovenia, 2011. [final-draft]
Akihiko Yamaguchi, and Tsukasa Ogasawara:
SkyAI: Highly Modularized Reinforcement Learning Library ---Concepts, Requirements, and Implementation---,
in Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids2010), pp.118-123, Nashville, TN, US, 2010. [final-draft]
Akihiko Yamaguchi, Sang-Ho Hyon, and Tsukasa Ogasawara:
Reinforcement Learning for Balancer Embedded Humanoid Locomotion,
in Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids2010), pp.308-313, Nashville, TN, US, 2010. [final-draft]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Constructing Continuous Action Space from Basis Functions for Fast and Stable Reinforcement Learning,
in Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN2009), pp.401-407, Toyama, Japan, 2009. [final-draft]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Constructing Action Set from Basis Functions for Reinforcement Learning of Robot Control,
in Proceedings of the 2009 IEEE International Conference on Robotics and Automation (ICRA2009), pp.2525-2532, Kobe, Japan, May, 2009. [final-draft]

解説記事†

山口明彦:
「食品マニピュレーションのためのロボット技術」特集について,
日本ロボット学会誌, Vol.37, No.6, pp.464-465, 2019. [JRSJ]
山口明彦, クリストファーアトケソン:
液体マニピュレーションのためのロボット技術,
日本ロボット学会誌, Vol.37, No.6, pp.477-482, 2019. [final-draft] [JRSJ]

招待講演†

Akihiko Yamaguchi:
Reinforcement Learning with Skill Library for Complicated Manipulation,
in the Workshop on Robotic Food Manipulation at the 2019 IEEE-RAS International Conference on Humanoid Robots (Humanoids2019), Oct 15, 2019. [Workshop website]
Akihiko Yamaguchi:
FingerVision: Vision-based Tactile Sensor for Proximity and Tactile Perception,
in the 2nd Workshop on Proximity Perception in Robotics at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2019), Nov 8, 2019. [Workshop website]
山口明彦:
視触覚センサFingerVisionが加速するマニピュレーション学習,
計測自動制御学会北陸支部講演会, 金沢市, 石川県, 2018年8月6日.
山口明彦:
AIベースロボットマニピュレーションの実現に向けて,
日本ロボット学会ロボット工学セミナー第111回産業応用に期待される人工知能技術を利用したロボットマニピュレーション, 文京区, 東京都, 2018年4月20日.
Akihiko Yamaguchi:
FingerVision for Tactile Behaviors, Manipulation, and Haptic Feedback Teleoperation,
The IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2018), Adachi-ku, Tokyo, Japan, March 6, 2018.
Akihiko Yamaguchi:
Robot Learning with Structured Knowledge and Richer Sensing,
Invited talk in National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan, Aug 24, 2017.
Akihiko Yamaguchi:
Robot Learning with Structured Knowledge and Richer Sensing,
Invited talk in Tohoku University, Sendai, Miyagi, Japan, Aug 24, 2017.
Akihiko Yamaguchi:
A Library-based Approach to Intelligent Robot Behaviors,
Invited talk in Kyushu Institute of Technology, Kyushu, Japan, March 16, 2017.
Akihiko Yamaguchi:
Optical Soft Skin For Soft Object Manipulation,
in the workshop Can We Build Baymax? Part 2: Making Hard Robots Soft Sensors, Skin and Airbags, in the 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids2016), Cancun, Mexico, 2016.
Akihiko Yamaguchi:
Unification of Symbolic and Numerical Representations,
Invited talk in University of Bremen, Bremen, Germany, May 23, 2016.
Akihiko Yamaguchi:
Pouring Skills with Planning and Learning Methods,
Invited talk in Robotics and Mechatronics Center, German Aerospace Center (DLR), Wessling, Germany, October 4, 2015.
Akihiko Yamaguchi:
Pouring Skills with Planning and Learning Methods,
Invited talk in ATR, Japan, November 10, 2015.
山口明彦:
ヒューマノイドロボット頂上決戦と人工知能：実践と理論のギャップを探る,
奈良先端科学技術大学院大学, 生駒市, 奈良県, 2015年11月6日. [Slides]

査読無し会議†

Fucai Zhu, Akihiko Yamaguchi, Koichi Hashimoto:
Case study of model-based reinforcement learning with skill library in peeling banana task,
in Proceedings of the 20th SICE System Integration Division Annual Conference (SI2019), December 14, 2019. [PDF]
Akihiko Yamaguchi:
Assistive Utilities with FingerVision for Learning Manipulation of Fragile Objects,
in Proceedings of the 19th SICE System Integration Division Annual Conference (SI2018), December 15, 2018. [PDF]
Fucai Zhu, Akihiko Yamaguchi, Koichi Hashimoto:
Using Human Actors in Robotic Manipulation Study: An Initial Attempt with Peeling Banana Task,
in Proceedings of the 19th SICE System Integration Division Annual Conference (SI2018), December 15, 2018. [PDF]
Vorapol Assavasangthong, Akihiko Yamaguchi, and Koichi Hashimoto:
Nearby Object Detection and Tracking for FingerVision,
in Proceedings of the JSME Robotics and Mechatronics Conference 2018 (ROBOMECH2018), 2A1-H15, Kitakyushu, Japan, June 5, 2018.
高山真太朗, 山口明彦, and 橋本浩一:
FingerVision によるインハンド姿勢推定,
日本機械学会ロボティクス・メカトロニクス講演会2018 (ROBOMECH2018), 2A1-H14, 北九州, 2018年6月5日.
Akihiko Yamaguchi and Yoshihiro Shibata:
Mikata Arm + FingerVision --Sensor Rich Robot Platform for Education and Research--,
in Proceedings of the JSME Robotics and Mechatronics Conference 2018 (ROBOMECH2018), 2A1-H16, Kitakyushu, Japan, June 5, 2018. [PDF]
山口明彦, 松原崇充, 原田研介:
マニピュレーションのためのロボット知能と学習,
第18回計測自動制御学会システムインテグレーション部門講演会 (SI2017), 3A4-01, 2017年12月22日.
Akihiko Yamaguchi and Christopher G. Atkeson:
Grasp Adaptation Control with Finger Vision: Verification with Deformable and Fragile Objects,
in Proceedings of the 35th Annual Conference of the Robotics Society of Japan (RSJ2017), 1L3-01, Saitama, September 11-14, 2017. [final-draft] [Video] [Slides]
Akihiko Yamaguchi, Christopher G. Atkeson, Scott Niekum, Tsukasa Ogasawara:
Learning Skills from Human Demonstrations: Initial Attempt on a Pouring Task,
in Proceedings of the 32nd Annual Conference of the Robotics Society of Japan (RSJ2014), 1I3-04, Kyusyu, September 4-6, 2014. [final-draft]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Masahiro Yoshikawa, Jun Takamatsu, and Tsukasa Ogasawara:
Improving the Trajectory Scaling Computation of Asymmetric Velocity Moderation,
in Proceedings of the 32nd Annual Conference of the Robotics Society of Japan (RSJ2014), 2E2-04, Tokyo, September 4-6, 2014.
Gustavo Alfonso Garcia Ricardez, Phawat Lertariyasakchai, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Kinematic Analysis for the Development of Human-Safe Robot Behavior using a Sensor Suit,
in Proceedings of the 31st Annual Conference of the Robotics Society of Japan (RSJ2013), 1J3-01, Tokyo, September 4-6, 2013.
築地原里樹, 山口明彦, 高松淳, 小笠原司:
ヒューマノイドロボットのステッピングを含む入力動作における転倒回避手法,
第31回日本ロボット学会学術講演会, 1K3-07, 2013年9月4-6日.
山口明彦, 大下将宗, 高松淳, 小笠原司:
学習戦略フュージョンを用いた18自由度多脚ロボットによる匍匐動作の獲得,
第31回日本ロボット学会学術講演会, 3I3-03, 2013年9月4-6日.
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Efficiency Evaluation of Asymmetric Velocity Moderation based on Task Completion Time,
in Proceedings of the 2013 JSME Conference on Robotics and Mechatronics (ROBOMEC2013), 2A2-I10, Tsukuba, Japan, May 22-25, 2013.
大下将宗, 山口明彦, 高松淳, 小笠原司:
学習した歩行方策の不整地に対する汎化性の検討,
日本機械学会ロボティクス・メカトロニクス講演会2013 (ROBOMEC2013), 1A2-P04, 2013年5月22-25日.
赤本拓也, 山口明彦, 高松淳, 小笠原司:
RGB-Dセンサから取得した特徴点座標によるアンドロイドのリアルタイム表情生成,
日本機械学会ロボティクス・メカトロニクス講演会2013 (ROBOMEC2013), 2P1-P23, 2013年5月22-25日.
中山拓也, 山口明彦, 高松淳, 小笠原司:
触覚情報の強化学習における利用-着席タスクを用いた検討-,
日本機械学会ロボティクス・メカトロニクス講演会2013 (ROBOMEC2013), 1P1-M03, 2013年5月22-25日.
山口明彦, 小笠原司:
IT Triadic ロボットコース - 奈良先端大の次世代ロボット分野人材育成プログラム,
第13回システムインテグレーション部門講演会 (SI2012), 3K1-6, pp.2543-2544, 2012年12月20日. [PDF]
Gustavo Alfonso Garcia Ricardez, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Velocity Moderation for Providing Human Safety Reactively,
in proceedings of the 30th Annual Conference of the Robotics Society of Japan (RSJ2012), 4M1-7, Sapporo, September 17-20, 2012.
Gustavo Alfonso Garcia Ricardez, Satoki Tsuichihara, Atsutoshi Ikeda, Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
RT Component for analyzing a motion script to implement a service using the Humanoid Robot HRP-4,
in Proceedings of the 12th SICE System Integration Division Annual Conference (SI2011), December 23, 2011.
Emarc Magtanong, Akihiko Yamaguchi, Kentaro Takemura, Jun Takamatsu, and Tsukasa Ogasawara:
Inverse Kinematics Solver for an Android Face using Neural Network,
in Proceedings of the 29th Annual Conference of the Robotics Society of Japan (RSJ2011), 1Q3-1, Tokyo, September, 2011. [PDF]
佐藤志保理, 山口明彦, 竹村憲太郎, 高松淳, 小笠原司, 高松淳, 小笠原司:
動作の性別属性を変換する男女双方向スタイル変換フィルタ,
第29回日本ロボット学会学術講演会, 1N2-5, 東京, 2011年9月. [PDF]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Utilizing Dynamics and Reward Models in Learning Strategy Fusion,
in Proceedings of the 2011 JSME Conference on Robotics and Mechatronics (ROBOMEC2011), 1A1-O03, Okayama, Japan, May, 2011. [PDF]
佐藤志保理, 山口明彦, 竹村憲太郎, 高松淳, 小笠原司, 高松淳, 小笠原司:
任意の動作を女性らしく変化させるスタイル変換フィルタ,
日本機械学会ロボティクス・メカトロニクス講演会2011 (ROBOMEC2011), 1A1-O11, 岡山, 2011年5月. [PDF]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Fusing Learning Strategies to Learn Various Tasks with Single Configuration,
IEICE Technical Report, Vol.110, No.461, NC2010-154, pp.159-164, March 2011. [final-draft]
山口明彦, 小笠原司:
SkyAI: 高度にモジュール化された強化学習ライブラリ ---スクリプトインターフェイス---,
第28回日本ロボット学会学術講演会, RSJ2010AC1I1-4, 名古屋, 2010年9月. [PDF]
山口明彦, 高松淳, 小笠原司:
強化学習によるロボットの動作獲得のための基底関数に基づく行動空間生成手法DCOB ---実機多自由度ロボットの匍匐動作への適用---,
日本機械学会ロボティクス・メカトロニクス講演会2010 (ROBOMEC2010), 2P1-G10, 旭川, 2010年6月. [PDF]
竹内喜之, 山口明彦, 竹村憲太郎, 高松淳, 小笠原司:
モーションキャプチャデータから多様な動作生成を可能にする運動学習プリミティブの合成,
第10回システムインテグレーション部門講演会 (SI2009), 1M4_7, pp.824-827, 2009年12月. [final-draft]
Akihiko Yamaguchi, Jun Takamatsu, and Tsukasa Ogasawara:
Composition of Feature Space and State Space Dynamics Models for Model-based Reinforcement Learning,
IEICE Technical Report, Vol.109, No.1, NC2009-8, pp.7-12, July 2009. [final-draft]
山口明彦, 杉本徳和, 川人光男:
回避行動の再利用メカニズムを備えた強化学習のための関数近似器修正手法と多関節ロボットへの応用,
電子情報通信学会技術研究報告, Vol.107, No.410, pp.87-92, 愛知, 2007年12月. [CiNii] [final-draft]
山口明彦, 杉本徳和, 川人光男:
回避行動の再利用メカニズムを持つ強化学習手法の提案と多関節ロボットへの応用,
第25回日本ロボット学会学術講演会, 3N37, 千葉, 2007年9月. [PDF]
山口明彦, 川嶋宏彰, 松山隆司:
多自由度ロボットの運動学習のためのイベント駆動型制御とその表現,
第24回日本ロボット学会学術講演会, 2D13, 岡山, 2006年9月. [PDF] [発表論文|松山研究室]
山口明彦, 川嶋宏彰, 松山隆司:
イベント駆動型制御とその表現 ---動的環境下における多自由度ロボットの運動学習を目指して---,
情報処理学会研究報告 (2006-CVIM-154), Vol.2006, No.51, pp.159-166, 奈良, 2006年5月. [PDF] [CiNii] [発表論文|松山研究室]

書籍†

感覚重視型技術の最前線～心地良さと意外性を生み出す技術～,
シーエムシー出版, 2018. (第7章「ロボットハンドへの触覚導入」担当)
NAIST-IS書籍出版委員会:
シンギュラリティ = SINGULARITY：限界突破を目指した最先端研究,
近代科学社, 2016. (8章「未来を変えるロボット学習」担当)
OpenCV 2 プログラミングブック制作チーム:
OpenCV 2 プログラミングブック,
マイナビ, 2011. (4.9節担当)

学位論文†

Akihiko Yamaguchi:
Highly Modularized Learning System for Behavior Acquisition of Functional Robots,
Doctoral Dissertation, Nara Institute of Science and Technology, 2011. [PDF]
山口明彦:
回避行動の再利用メカニズムを備えた強化学習手法と多関節ロボットの全身運動学習への応用,
修士論文, 奈良先端科学技術大学院大学, 2008. [PDF]
山口明彦:
イベント駆動型制御とその表現ー動的環境下における多自由度ロボットの運動学習を目指してー,
学士論文, 京都大学, 2006. [PDF] [Video]