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Intelligent Medical and Assistive Robot based on Physical Model of Human |
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September 30th 2008.
Salle du Conseil
Presenter: Yo Kobayashi (Ph.D, Waseda Univ.)
Takeshi Ando (Waseda Univ.)
Misato Nihei (Ph.D, The Univ. of Tokyo)
Abstract:
The purpose of our research is to develop the intelligent medical and Assistive robot based on the physical model of human. In our presentation, we introduce state-of-art technology of our research about the robotic system and human modeling listed as follows.
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Probabilistic Spiking Neural Information Processing Systems (PROSNIPS) |
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The research proposal that I will present is 1) to investigate the computational characteristics and advantages that probabilistic spiking neural systems may provide for information processing, 2) to implement these systems in simulations and 3) to investigate them embodied in realistic real-time settings, including robotics, and potentially neuroprosthetics.
Although the universality and power of computation of spiking neural networks have been known for many year (Maass, 1996), how to take advantage of their computational abilities is still an open question. Behavioral studies have confirmed that human subjects take uncertainty into accounts in a wide variety of tasks, and even do so in a nearly Bayesian optimal way. There had been no simple way of linking these behaviors with the underlying neural computations until recent results with probabilistic spiking neural population codes (Ma WJ et al. 2006).
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Luis Sentis Seminar |
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Tuesday January 13th
Analysis and Control of Contact Centers of Pressure and Internal Forces in Humanoid Robots Using the Virtual Linkage Model
Dr. Luis Sentis, Stanford University
Abstract
Since Waseda University unveiled the humanoid robot Wabot-1 in 1973, humanoids have evolved from a showcase device to a promising service machine. An important problem in humanoids is their ability to manipulate and move in their environments through whole-body multicontact interactions.
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