This project focuses on the integration of Computer Vision (CV) and robotics to automate object assembly tasks using a collaborative robot. By combining both disciplines, the project aims to improve productivity and safety in multiple environments by enabling safe and efficient assembly operations. To this end, an RGBD camera will be used as a vision system to capture both color and depth data from the environment. A further aspect to highlight is the importance of education and training for operators to enhance accessibility and familiarity with manipulator robots beyond the robotics industry and for the creation of adapted paths without knowledge of conventional robot path programming. The objectives cover conducting research, developing simulation environments, implementing algorithms, and their application in both real and virtual robots. This project is intended to enhance automation and efficiency while promoting the advantages of computer vision and robotics in industrial applications.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-23297 |
| Date | January 2022 |
| Creators | Pozo León, Antonio, von Knoop Ruiz, Alexander |
| Publisher | Högskolan i Skövde, Institutionen för ingenjörsvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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