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Conference Paper
Multiple Concurrent Operations and Flexible Robotic Picking for Manufacturing Process Environments
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- Authors
- Sangseung Kang, Kyekyung Kim
- Issue Date
- 2017-06
- Citation
- International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2017, pp.380-381
- Language
- English
- Type
- Conference Paper
- Project Code
- 17PS1300, Next Generation Manufacturing Robot for Smart Factory and Work-Space Sharing with Human, Kang Sang Seung
- Abstract
- For automation of part-packaging processes, the system should be able to perform certain functions for operating the applicable concurrent pickup of randomized parts stored in multiple containers. To achieve such operation, we present an effective vision based picking system for multiple concurrent tasks in small parts manufacturing sites. The proposed system detects target objects and analyzes whether they are available for a concurrent picking operation using dual-arm or multiple arm manipulators. In the experimental study, the method showed improved accuracy and an increase in the number of target objects compared to the simple area limitation method for the collision avoidance between the manipulator. The system can be a solution for multiple concurrent operation and flexible robotic picking in manufacturing process environments.
- KSP Keywords
- Concurrent operations, Dual-arm, Experimental study, Improved Accuracy, Manufacturing processes, Multiple concurrent, Packaging processes, Picking system, Small parts, collision avoidance, vision-based