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Robotic arm Object Detection System

Jau‐Woei Perng, Chiao-Sheng Wang, Yun-Chu Tsai

发表年份
2019
引用次数
2

摘要

Most of the automation technology in today's factories produces fixed products over fixed production lines; this is called fixed automation. However, many companies today have short product cycles, many product varieties, and small batch sizes, and so fixed automation is not a practical solution. Therefore, our research team aims to develop a smart robotic arm system that can work in flexible automation. Towards that goal, this article describes an innovative gripping system for the screwdriver. The screwdriver gripping system uses faster region-based convolutional network to detect the gripping target, and it uses image processing methods to find the best gripping point of the object; the next command then gives the arm its control decision.

关键词

AutomationComputer scienceObject (grammar)Product (mathematics)Robotic armProcess automation systemPoint (geometry)Manufacturing engineeringEmbedded systemReal-time computing

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