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Negative Muon Capture on Nitrogen Oxide Molecules
Kazuhiko Ninomiya,Takashi U. Ito,Wataru Higemoto,Makoto Kita,Atsushi Shinohara,Takashi Nagatomo,Kenya Kubo,Patrick Strasser,Naritoshi Kawamura,Koichiro Shimomura,Yasuhiro Miyake,Taichi Miura 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.41
The characteristic muonic X-ray measuring system for low pressure gas sample was constructed to investigate the initial process of muonic atom formation. Low background characteristic muonic X-ray spectra were obtained for neon (1.0 bar) and nitrogen mono-oxide samples (0.99 bar) by muon irradiation with 19 MeV/c. The deviation of characteristic muonic X-ray intensity patterns both for muonic nitrogen and oxygen atoms in nitrogen mono-oxide sample between our low pressure experiment and the previous high pressure experiment was found. Muon capture probability was also determined and compared with the previous work and empirical estimations.
Towards a Personal Robotic-aid System
Juyi Park,Palis Ratanaswasd,Edward E. Brown Jr,Tamara.E. Rogers,Kazuhiko Kawamura,D. Mitchell Wilkes 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2004 International Journal of Assistive Robotics and Me Vol.5 No.2
A robotic-aid system could be more effective if the system were intelligent enough to understand the user needs and adapt its behaviors accordingly. This paper presents our efforts to realize such a personal robotic-aid system through multi-agent robot control architecture. This paper presents a framework for human-robot interaction, two cognitive agents responsible for human-robot interaction, and a set of memory structures. Several applications illustrate how the system interacts with the user.
Biologically-Inspired Control Architecture for an Upper Limb, Intelligent Robotic Orthosis
Steve Northrup,Edward E,Brown,Jr,Osman Parlaktuna,Kazuhiko Kawamura 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2001 International Journal of Assistive Robotics and Me Vol.2 No.3
This paper describes a biologically inspired control architecture for the McKibben actuated limbs of a humanoid robot and its application in an upper limb, intelligent robotic orthosis. The antagonistically driven joints are actuated using a biological control model. This model is observed in the measurement of human muscle elctromyograms (EMG) during reaching movements in the vertical plane. The paradigm uses the summation of tonic and phasic EMG signals to activate the human muscles. The humanoid robot"s muscles, actuated by pressure control, are controlled with feedforward pressure patterns analogous to the tonic and phasic activation in the human model. A result of this control paradigm is the realization of actuation with lower stiffness and therefore safer operation for human-humanoid interaction. It is expected that such a motion of the humanoid will closely resemble human motion and will facilitate a more human-friendly human-robot interaction. This leads to our illustration of applying the architecture to a proposed upper limb, robotic orthosis. Such an orthosis will be described in the latter part of this paper.