NDLI: The biological inspired somatic neuron design and its application in robot nervous system

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The biological inspired somatic neuron design and its application in robot nervous system

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The biological inspired somatic neuron design and its application in robot nervous system

Content Provider	IEEE Xplore Digital Library
Author	Zhongcheng Wu Enliang Song Fei Shen Dezhang Xu Bing Fang
Copyright Year	2005
Description	Author affiliation: Inst. of Intelligent Machines, Chinese Acad. of Sci., Beijing, China (Zhongcheng Wu; Enliang Song; Fei Shen; Dezhang Xu)
Abstract	The nervous system is the major controlling, regulatory, and communicating system in human body. One of the basic functions of the nervous system is the sensory, by which one monitors the external and internal environments. Sensory pathways to the cortex usually consist of three sensory neurons termed 1st order, 2nd order, and 3rd order neurons. In this paper, a standard biological inspired neuron was presented, which can be acted as the basis node of robot perceptual systems. The hardware and software has been designed and implemented for modeling, testing and employing sensor networks composing of many identical neuron nodes. Each node considers ease-of-use and power considerations. Some requirements, such as 'plug-and-play' capability, system integration and dynamic reconfiguration, were described, which is achieved through an 'transducer electronic data sheet' (TEDS) in our networked transducer neuron node. The TEDS contains fields that fully describe the type, operation, and attributes of one or more transducers and its data formats are defined. The paper also specifies a digital interface for connecting neuron to access the TEDS data sheets for reading sensor data and setting actuators. Each neuron can connect more than 8 channel analog signals by 12 bit resolution, two digital channel for SPI and I/sup 2/C interface sensor, and more than 20 channel I/O for switch signal, it can also offer two channel analog output for controlling purpose. A set of designed neurons can be connected together by different structure to form robot nervous system, not only for sensing, but for controlling too. Example application on robot perception system and future in progress work are discussed in the end.
File Size	410820
File Format	PDF
ISBN	0780393031
DOI	10.1109/ICIA.2005.1635139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transducers Software design Biological system modeling Neurons Humans Switches Nervous system Robot sensing systems Control systems Hardware
Content Type	Text
Resource Type	Article

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