Development of an AI-enabled AGV with robot manipulator

被引：5

作者：

Shaw, Jin-Siang ^{[1
,2
]}

Liew, Chuin Jiat ^{[2
]}

Xu, Sheng-Xiang ^{[2
]}

Zhang, Zhe-Ming ^{[2
]}

机构：

[1] Natl Taipei Univ Technol, Res Ctr Energy Conservat New Generat Residential, Taipei 10608, Taiwan

[2] Natl Taipei Univ Technol, Inst Mechatron Engn, Taipei 10608, Taiwan

来源：

PROCEEDINGS OF THE 2019 IEEE EURASIA CONFERENCE ON IOT, COMMUNICATION AND ENGINEERING (ECICE) | 2019年

关键词：

automated guided vehicle; artificial intelligence; robot operation system; SLAM;

D O I：

10.1109/ecice47484.2019.8942802

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The presented work describes a ROS-based automated guided vehicle (AGV) applied in usage of an assembly production line. By reaching the purpose of automatic navigation, two sets of LIDAR sensors are installed to approach simultaneous localization and mapping (SLAM). A RGBD camera is used to perceive the working environment and identify workers captured in sight, through a trained AI deep learning using YOLO 3. A robot manipulator is attached on AGV to perform pick-and-place task. The developed AGV has shown to perform well in SLAM, automatic navigation, obstacle avoidance in typical indoor environment.

引用

页码：284 / 287

页数：4

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