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Journal of Robotics and Mechatronics

ISSN : 0915-3942(Print) / 1883-8049(Online)
Editor-in-Chief :Tatsuo Arai(Osaka University)
Deputy Editor-in-Chief :Kazuhiro Kosuge (Tohoku University), Yasuhisa Hasegawa (University of Tsukuba)
Technically Co-sponsored by Robotics and Mechatronics Division of Japan Society of Mechanical Engineers

JRM Vol.17 No.6 Dec. 2005

Special Issue on Human Modeling in Robotics: Editor: Taketoshi Mori (Associate Professor, the University of Tokyo)

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JRM Vol.17 No.6 Dec. 2005

Editorial:

Special Issue on Human Modeling in Robotics

Taketoshi Mori, pp. 607

Human modeling is becoming an essential key technology for robotics and mechatronics systems that aid and expand human activities. Human modeling is indispensable in designing systems that conduct tasks difficult or even impossible for human beings to accomplish. Such systems include humanoid robots, power assistance suits, communication robots, intelligent support rooms, and user interface devices.

This special issue focuses on the latest state-of-the-art human modeling research, especially in robotics, presenting a wide variety of human modeling areas. To support human beings in real-world environments, human behavior model is considerably important. Adaptation to personal characteristics may be the core function of next-generation system mechanisms, and human social modeling is the principal focus of interfacing for interaction systems. Cognitive and psychological models of human beings have always been an important domain in human-machine systems. Probabilistic and static methods have attracted attention in this research field. Not only mechanical but physiological human modeling may soon become 'vital' for all kind of robotic systems. This special issue is the kernel node for cultivating these rapidly advancing areas.

I thank the authors of the articles in this issue for their invaluable effort and contributions. I also thank the members of the Editorial board, without whose work this special issue would not have been possible.

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Paper:: Design of a Human Circulation Modeling System for Fitness Training; Kenichi Asami, pp. 608-616; Abstract | Preview | Full Text (PDF650KB)
Paper:: Spinal Information Processing and its Application to Motor Learning Support; Mihoko Otake, and Yoshihiko Nakamura, pp. 617-627; Abstract | Preview | Full Text (PDF413KB)
Paper:: Motion Analysis of Human Lifting Works with Heavy Objects; Nobutomo Matsunaga, and Shigeyasu Kawaji, pp. 628-635; Abstract | Preview | Full Text (PDF240KB)
Paper:: Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller; Yutaka Nakamura, Takeshi Mori, Yoichi Tokita, Tomohiro Shibata, and Shin Ishii, pp. 636-644; Abstract | Preview | Full Text (PDF152KB)
Paper:: Classification of Motion Constraints by Explorative Manipulation by a Compliant Multi-Fingered Hand; Ryo Fukano, Yasuo Kuniyoshi, Takuya Otani, Takumi Kobayashi, and Nobuyuki Otsu, pp. 645-654; Abstract | Preview | Full Text (PDF378KB)

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Paper:: Pinching at Fingertips for Humanoid Robot Hand; Kiyoshi Hoshino, and Ichiro Kawabuchi, pp. 655-663; Abstract | Preview | Full Text (PDF378KB)
Paper:: Human Posture Probability Density Estimation Based on Actual Motion Measurement and Eigenpostures; Tatsuya Harada, Taketoshi Mori, and Tomomasa Sato, pp. 664-671; Abstract | Preview | Full Text (PDF623KB)
Paper:: Human-Like Daily Action Recognition Model; Taketoshi Mori, and Kousuke Tsujioka, pp. 672-680; Abstract | Preview | Full Text (PDF130KB)
Paper:: Extracting Multimodal Dynamics of Objects Using RNNPB; Tetsuya Ogata, Hayato Ohba, Jun Tani, Kazunori Komatani, and Hiroshi G. Okuno, pp. 681-688; Abstract | Preview | Full Text (PDF311KB)
Paper:: Probabilistic Human Modeling Based on Personal Construct Theory; Yoichi Motomura, and Takeo Kanade, pp. 689-696; Abstract | Preview | Full Text (PDF230KB)

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Paper:: A Dialogue Control Model Based on Ambiguity Evaluation of Users' Instructions and Stochastic Representation of Experiences; Tetsunari Inamura, Masayuki Inaba, and Hirochika Inoue, pp. 697-704; Abstract | Preview | Full Text (PDF404KB)
Paper:: Development of Infant Behavior Simulator: Modeling Grasping Achievement Based on Developmental Behavior Model and Environmental Interest Induction Model; Koji Kitamura, Yoshifumi Nishida, Naoaki Matsumoto, Yoichi Motomura, Tatsuhiro Yamanaka, and Hiroshi Mizoguchi, pp. 705-716; Abstract | Preview | Full Text (PDF760KB)
Paper:: Sequential Human Behavior Recognition for Cooking-Support Robots; Tsukasa Fukuda, Yasushi Nakauchi, Katsunori Noguchi, and Takashi Matsubara, pp. 717-724; Abstract | Preview | Full Text (PDF715KB)

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