Indoor positioning, artificial intelligence and digital twins for enhanced robotics safety

被引:5
|
作者
Pitkaaho, Tomi [1 ]
Kaarlela, Tero [1 ]
Pieska, Sakari [1 ]
Sarlin, Sami [1 ]
机构
[1] Centria Univ Appl Sci, Vierimaantie 7, Ylivieska 84100, Finland
来源
IFAC PAPERSONLINE | 2021年 / 54卷 / 01期
基金
欧洲研究理事会;
关键词
Robotics technology; Perception and sensing; Positioning systems; Machine learning; Intelligent interfaces; COLLABORATION;
D O I
10.1016/j.ifacol.2021.08.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Flexible robotics safety solutions allowing the implementation of fenceless robot cells are becoming a reality nowadays. Safety approved sensors such as light curtains, safety scanners, and safety cameras have been deployed already successfully in various industrial robotic solutions. Still, as these safety systems are installed in fixed locations, monitoring predefined regions, the systems can be rigid and inflexible. This paper introduces a novel hybrid safety solution. The solution comprises safety-approved sensors, additional sensors, and artificial intelligence analysis. The system increases flexibility, especially in cases where collaborating humans and robots need monitoring in larger areas. Typically, in such environments, work objects are large and heavy, introducing additional challenges. In addition, the proposed system includes a digital twin implementation that allows a connection between the real and virtual worlds. Already virtual models and robot simulation have been used for designing safe robot applications. However, the efficient use of digital twins in safety planning and safety monitoring is still uncommon. Copyright (C) 2021 The Authors.
引用
收藏
页码:540 / 545
页数:6
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