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Eri Nakano: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yasuhiro Wada, Yuichi Kaneko, Eri Nakano, Rieko Osu, Mitsuo Kawato
    Multi Joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson Equation. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:977-986 [Conf]
  2. Hiroyuki Miyamoto, Stefan Schaal, Francesca Gandolfo, Hiroaki Gomi, Yasuharu Koike, Rieko Osu, Eri Nakano, Yasuhiro Wada, Mitsuo Kawato
    A Kendama Learning Robot Based on Bi-directional Theory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:8, pp:1281-1302 [Journal]
  3. Yasuhiro Wada, Yuichi Kaneko, Eri Nakano, Rieko Osu, Mitsuo Kawato
    Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:4-5, pp:381-393 [Journal]
  4. Yuichi Kaneko, Eri Nakano, Rieko Osu, Yasuhiro Wada, Mitsuo Kawato
    Trajectory formation based on the minimum commanded torque change model using the Euler-Poisson equation. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2005, v:36, n:2, pp:92-103 [Journal]
  5. Hiroyuki Miyamoto, Eri Nakano, Daniel M. Wolpert, Mitsuo Kawato
    TOPS (Task Optimization in the Presence of Signal-Dependent Noise) model. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2004, v:35, n:11, pp:48-58 [Journal]
  6. Eri Nakano, John R. Flanagan, Hiroshi Imamizu, Rieko Osu, Toshinori Yoshioka, Mitsuo Kawato
    Composition and decomposition learning of reaching movements under altered environments: An examination of the multiplicity of internal models. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2002, v:33, n:11, pp:80-94 [Journal]

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