Akihiko Yamaguchi, PhD

 English | Japanese 
Akihiko Yamaguchi
at CMU (2016)  
Postdoctoral Fellow
Robotics Institute
Carnegie Mellon University (CMU)
E-mail : info [at] akihikoy [dot] net

Research interests

Robot Learning; Behavior Learning; Reinforcement Learning; Machine Learning; Deep Learning; Artificial Intelligence; Robotics; Humanoid Robot; Manipulation of Deformable Objects; Liquid Manipulation

Selected publications

  • 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]
  • 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, 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]
  • 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, 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. (in English) [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 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]