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

Yong Qin, Michael Frye, Haibin Wu, Sreerenjini Nair, Kun Sun

Year
2019
Citations
3

Abstract

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.

Keywords

RobotMotion captureComputer scienceComputer visionMotion (physics)Artificial intelligencePhotogrammetrySimulation

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