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Vision-Based Bin Picking System for Industrial Robotics Applications
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- Authors
- Kyekyung Kim, Joongbae Kim, Sangseung Kang, Jaehong Kim, Jaeyeon Lee
- Issue Date
- 2012-11
- Citation
- International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2012, pp.515-516
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- The vision-based bin picking using object recognition has been considered as an innovative manufacturing process in industrial robotics applications. In bin picking system, pick and place tasks are performed by robot which has been processed by measuring object pose. But it has to address challenge problems such as object appearance distorted by overlapping parts, lighting variation or reflection, picking from randomly piled parts in a bin. This research is to investigate a vision-based bin-picking method, which provides a robust and efficient method to recognize object and to estimate pose with multiple vision sensors. Copyright © 2012 IEEE.
- KSP Keywords
- Bin-picking, Challenge problem, Industrial Robotics, Manufacturing processes, Object recognition, Pick and Place, Picking system, Vision sensor, innovative manufacturing, object pose, robotics applications