Study of Robot Localization and Control Based on Motion Capture in Indoor Environment

Qin Yong; Frye Michael T.; Wu Haibin; Nair Sreerenjini; Sun Kun

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Study of Robot Localization and Control Based on Motion Capture in Indoor Environment

机译：基于运动捕获在室内环境中的机器人定位与控制研究

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This paper researches a robotic localization system based on motion capture indoor environment. We apply motion capture technology to realize multi-robot positioning which achieves the multi-robots' localization in indoor environment. It includes motion capture system, some robots, and main computer for data calibration and communication. Motions capture system based on the theory of photogrammetry which was analyzed. And the virtual experiment environment was established according to the actual experimental environment. The performance is demonstrated by numerical simulation and experiment.

机译：本文研究了基于运动捕获室内环境的机器人定位系统。我们应用运动捕捉技术来实现多机器人定位，实现室内环境中的多机器人本地化。它包括运动捕获系统，一些机器人和主计算机，用于数据校准和通信。分析了基于摄影测量理论的运动捕获系统。并且根据实际的实验环境建立了虚拟实验环境。通过数值模拟和实验证明了性能。

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来源
《Integrated Ferroelectrics》 |2019年第2019期|共11页
作者
Qin Yong; Frye Michael T.; Wu Haibin; Nair Sreerenjini; Sun Kun;
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作者单位

Harbin Univ Sci &

Technol Coll Measurement Control Technol &

Commun Engn Harbin Peoples R China;

Univ Incarnate Word Dept Engn San Antonio TX USA;

Harbin Univ Sci &

Technol Coll Measurement Control Technol &

Commun Engn Harbin Peoples R China;

Univ Incarnate Word Dept Engn San Antonio TX USA;

Harbin Univ Sci &

Technol Coll Measurement Control Technol &

Commun Engn Harbin Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类电磁学、电动力学;
关键词
Robot; localization; motion capture; indoor environment; photogrammetry;

机译：机器人;本地化;运动捕获;室内环境;摄影测量;

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专利

1. Study of Robot Localization and Control Based on Motion Capture in Indoor Environment [J] . Qin Yong, Frye Michael T., Wu Haibin, Integrated Ferroelectrics . 2019,第期

机译：基于运动捕获在室内环境中的机器人定位与控制研究
2. Source localization in dynamic indoor environments with natural ventilation: An experimental study of a particle swarm optimization-based multi-robot olfaction method [J] . Feng Qilin, Zhang Canxin, Lu Jingyu, Building and Environment . 2019,第Auga期

机译：具有自然通风的动态室内环境中的源定位：基于粒子群优化的多机器嗅觉方法的实验研究
3. Design and performance evaluation of wiimote-based two-dimensional indoor localization systems for indoor mobile robot control [J] . Gu D., Chen K. -S. Measurement . 2015,第Null期

机译：基于wiimote的室内移动机器人二维室内定位系统的设计与性能评估
4. Numerical simulation of odor plume in indoor ventilated environments for studying odor source localization with mobile robots [C] . Jiang Xiao-Bao, Meng Qing-Hao, Wang Yang, 2012 International Conference on Robotics and Biomimetics : Conference Digest. . 2012

机译：室内通风环境中气味羽流的数值模拟，用于研究移动机器人的气味源定位
5. Encoded Visible Light Based Indoor Localization and Navigation Technology for Mobile Autonomous Robots [D] . Ma, Shang. 2017

机译：用于移动自主机器人的编码可见光的室内定位和导航技术
6. Semantic Localization System for Robots at Large Indoor Environments Based on Environmental Stimuli [O] . Fco-Javier Serrano, Vidal Moreno, Belén Curto, 2020

机译：基于环境刺激的室内大环境机器人语义定位系统
7. A New Localization System for Indoor Service Robots in Low Luminance and Slippery Indoor Environment Using Afocal Optical Flow Sensor Based Sensor Fusion [O] . Dong-Hoon Yi, Tae-Jae Lee, Dong-Il “Dan” Cho 2018

机译：基于非线性光流传感器的传感器融合低亮度室内环境室内服务机器人定位系统

Study of Robot Localization and Control Based on Motion Capture in Indoor Environment

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