A Novel Wireless Context-Aware Network of Service Robot
With the improvement of sensors, intelligence and wireless communication technologies, the service robot is faced with a new rapid development opportunity, which can utilize pervasive computing of wireless network to sensing everything happened in whole c
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Abstract With the improvement of sensors, intelligence and wireless communication technologies, the service robot is faced with a new rapid development opportunity, which can utilize pervasive computing of wireless network to sensing everything happened in whole context. This paper presents a novel service robot global context-aware network, and puts emphasis on four key issues, such as ultra wideband radio, wireless positioning technology, wireless body area network and dynamic Bayesian network.
Keywords Service robot Wireless sensor network network Context-aware Dynamic bayesian network
Wireless body area
Introduction With the rapid development of context-aware technologies such as M2M communication technology [1], wireless positioning [2, 3] in recent years, many institutes and researchers have a strong interest in the service robot supported by J. Liu H. Yan (&) C. Zou Guangdong Jidian Polytechnic, Guangzhou 510515, China e-mail: [email protected] J. Liu e-mail: [email protected] C. Zou e-mail: [email protected] Q. Wang B. Zeng Guangdong University of Technology, Guangzhou 510515, China e-mail: [email protected] B. Zeng e-mail: [email protected]
Y.-M. Huang et al. (eds.), Advanced Technologies, Embedded and Multimedia for Human-centric Computing, Lecture Notes in Electrical Engineering 260, DOI: 10.1007/978-94-007-7262-5_41, Springer Science+Business Media Dordrecht 2014
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context-aware technique. The independent context-aware service robot, that integrated calculation, inference, wireless communication and adaptive control, becomes one of leading-edge interdisciplinary research areas today [4]. People above the age of 60 years in China have now exceeded 10 % of the total population, and elderly population will be total 200 million by 2015, which is a new challenge. It is expected that in the near future, nursing care for the elderly will become an important burden, which requires a large number of service robots to complete nursing affairs such as delivery items, cleaning, rehabilitation services, to make up for the lack of nursing staff. The service robot can help to take care of the elderly daily life and improve their quality of life. Therefore, service Robotics market has great potential demand, and will produce good economic results. In the past, the service robot primarily made use of sensors on the robot body to obtain cognition of the ambient environment, such as using laser range finder to achieve positioning, using acceleration meter to sense collision, and using gas sensor to detect dangerous gas leaks. The defect of these methods is that the environment information is partial around the robot. Fortunately, with the development of context-aware technology based on wireless sensor network (WSN), deploying multiple types of sensors to realize global contextual perception, the robot can understand the each of contextual changes and take appropriate action quickly. For example, once the fire disaster happened, the robot should give an alarm and open
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