Research of Localization Optimization Based on Multi-information Fusion for Housework Robot Positioning System

Against to the presence of high complexity, low accuracy and a smaller range of positioning in traditional positioning technologies, A single positioning technology can not completely cover the environment and lead to the problem of inaccurate positioning results, it presents the multiinformation fusion positioning technology for housework robot positioning system. Uncertainties among the acquired data and mutually exclusive and compatibility of evidence for each channel, the technology takes full advantage of WLAN, RFID and odometer sensor and ultrasonic for fusion location, It proposes the secondary adjusting weighted DS evidence theory. Experimental results show that: Compared with classic DS evidence theory fusion results, the technology can improves positional accuracy and better meets the positioned requirements of home robots.