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Conference Paper Robotic Vision System for Random Bin Picking with Dual-arm Robots
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Authors
Sangseung Kang, Kyekyung Kim, Jaeyeon Lee, Joongbae Kim
Issue Date
2016-06
Citation
International Conference on Measurement Instrumentation and Electronics (ICMIE) 2016, pp.1-5
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1051/matecconf/20167507003
Abstract
Random bin picking is one of the most challenging industrial robotics applications available. It constitutes a complicated interaction between the vision system, robot, and control system. For a packaging operation requiring a pick-and-place task, the robot system utilized should be able to perform certain functions for recognizing the applicable target object from randomized objects in a bin. In this paper, we introduce a robotic vision system for bin picking using industrial dual-arm robots. The proposed system recognizes the best object from randomized target candidates based on stereo vision, and estimates the position and orientation of the object. It then sends the result to the robot control system. The system was developed for use in the packaging process of cell phone accessories using dual-arm robots.
KSP Keywords
Industrial Robotics, Pick-and-place, Position and orientation, Robotic vision, Vision system, cell phones, dual-arm robots, random bin picking, robot control system, robot system, robotics applications
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY