Integration of multi-camera vision system for automatic robotic assembly
| Autor: | Matti Saarinen, Longchuan Niu, Reijo Tuokko, Jouni Mattila |
|---|---|
| Přispěvatelé: | Tampere University, Automation Technology and Mechanical Engineering, Research group: Innovative Hydraulic Automation |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science Machine vision 213 Electronic automation and communications engineering electronics Process (computing) 02 engineering and technology Multi camera Industrial and Manufacturing Engineering Object detection law.invention Industrial robot 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Calculator Artificial Intelligence law SMT placement equipment business Pose Computer hardware |
| Zdroj: | Procedia Manufacturing |
| Popis: | An automated assembly cell does not come with the luxury of intelligence. A non-adaptive robot manipulator must have more accurate parts and assembly fixtures to a greater accuracy than their assembly tolerances. Accurate parts presentation and the fixturing of assemblies can be a complex and costly portion of an automated cell. Machine vision can be integrated with the assembly process to effectively and efficiently guide the assembly process. This paper presents a framework for an automatic assembly system that consists of an industrial robot and a three-camera vision system, where the tasks involve object detection, pose estimation during pick and place operations, and assembly verification. Given a pocket calculator as an application, the proposed framework can successfully perform autonomous assembly of a pocket calculator. The experiment results verified the efficacy of the proposed method. publishedVersion |
| Databáze: | OpenAIRE |
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