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Research on control of mobile robot cooperating with environment embedded sensors

Research on control of mobile robot cooperating with environment embedded sensors
环境嵌入式传感器配合移动机器人控制研究
批准号:
18360119
负责人:
HASHIMOTO Hideki
金额:
$10.72万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2006
资助国家:
日本
项目状态:
已结题
起止时间:
2006 至 2007

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中文摘要
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英文摘要
In this research, we aimed to accomplish the cooperation of intelligent space and mobile robots. Here we call the space composed of distributed sensors and actuators, intelligent space.1. Design and implementation of intelligent space to construct a system with high flexibility and extensibilityWe constructed component-oriented intelligent space by making distributed devices into component using RT-middleware. We discussed about design guidelines of observation function and mobile robot navigation function of the intelligent space and successed to build a system easy to add, change or delete the sensor and disposition functions.2. Navigation of mobile robot using information from intelligent space and robot onboard sensorsTo realize assistance of mobile robot in intelligent space, we investigated mobile robot navigation method in living environment. At first, we proposed a method to obtain main pathway of the environment by observing human walking path in intelligent space. Next, we showed that mobile robot can perform efficient and natural movement by integrating information of main pathway and own position with surrounding obstacle information.3. Integration of informations observed by intelligent space and mobile robotWe proposed to use not only distributed sensors but robot onboard sensors. We also proposed method to integrate both informations efficiently to navigate mobile robot. First, we showed that tracking moving objects and construction of environment map can be done precisely by using integrated information. However, there was a problem that the computation and connection load increases because of correlation between measurement values. To solve this problem, we proposed fusion methods. Moreover, we proposed a method to obtain robot model using particle filter and integrating it into the system to accomplish improvement of robustness and expansion of applicable scope.
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会议论文
Mobile Robot Navigation Based on Important Points Extracted from Human Observation
基于人类观察提取重要点的移动机器人导航
DOI: --
发表时间: 2008
期刊: SICE Journal of Control, Measurement, and System Integration Vol. 44, No. 4
影响因子: --
作者: [Takeshi Sasaki, Hideki Hashimoto]
通讯作者: Hideki Hashimoto
DOI: --
发表时间: 2007
期刊:
影响因子: --
作者: [Qinhe Wang, 橋本秀紀]
通讯作者: 橋本秀紀
DOI: --
发表时间: 2006-04
期刊: International Journal of Control Automation and Systems
影响因子: 3.2
作者: [Taeseok Jin;Jangmyung Lee;H. Hashimoto]
通讯作者: Taeseok Jin;Jangmyung Lee;H. Hashimoto
Hybrid Tracking Based on Color Histogram for Intelligent Space
基于颜色直方图的智能空间混合跟踪
DOI: --
发表时间: 2007
期刊: Artificial Life and Robotics 11・2
影响因子: --
作者: [Kazuyuki Morioka, Joo-Ho Lee, Yoichi Kuroda, Hideki Hashimoto]
通讯作者: Hideki Hashimoto
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