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Record Nr. |
UNINA9910743336903321 |
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Titolo |
Vision based identification and force control of industrial robots / / Abdullah Aamir Hayat (and six others) |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] |
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©2022 |
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ISBN |
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981-16-6989-9 |
981-16-6990-2 |
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Descrizione fisica |
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1 online resource (212 pages) : illustrations (some color) |
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Collana |
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Studies in systems, decision and control ; ; Volume 404 |
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Disciplina |
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Soggetti |
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Robots - Dynamics |
Robots, Industrial |
Robot vision |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction Vision System and Calibration Uncertainty and Sensitivity Analysis Identication Force Control and Assembly Integrated Assembly and Performance Evaluation Conclusion Vision and Uncertainty Analysis Robot Jacobian Code Snippets and Experimental Videos |
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Sommario/riassunto |
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This book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment. The use of sensor fusion is demonstrated through a bin-picking task of texture-less cylindrical objects. The system identification techniques are also discussed for obtaining precise kinematic and dynamic parameters of an industrial robot which facilitates the control schemes to perform pick-and-place tasks autonomously without any interference from the user. |
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