Research on Manipulator Positioning Based on Stereo Vision in Virtual Environment
| Autor: | Jun Lu, Ai Xia Guo, Jizhong Deng, Xiangjun Zou, Hai Xin Zou, Yan Chen, Lu Feng Luo |
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| Rok vydání: | 2008 |
| Předmět: |
Engineering
business.industry Mechanical Engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object (computer science) computer.software_genre Simulation software Modeling and simulation Stereopsis Mechanics of Materials Virtual machine Binocular stereo Computer graphics (images) General Materials Science Computer vision Artificial intelligence Manipulator Data input business computer |
| Zdroj: | Key Engineering Materials. :200-204 |
| ISSN: | 1662-9795 |
| DOI: | 10.4028/www.scientific.net/kem.392-394.200 |
| Popis: | Inherent uncertainties always exist in the positioning picking manipulators in complex environment, modeling and simulation of positioning. The manipulators were discussed based on binocular stereo vision in virtual environment (VE). Based on stereo vision, a method how virtual manipulators locate picking object by human-computer interaction (HCI) was proposed. The data input from vision were mapped to virtual picking manipulators so that it could enable the positioning and simulation with route and events-driven mechanism. The positioning experimental platform in VE consists of hardware of CCD stereo vision and simulation software. The visualized simulation system was exploited by EON SDK. The simulation of manipulator’s positioning was realized in VE by the platform. This method can be used for virtual robot to locate objects’ long-distance positioning in complex environment. |
| Databáze: | OpenAIRE |
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