Review of vision-based safety systems for human-robot collaboration
| Autor: | Roel Pieters, Antti Hietanen, Roni-Jussi Halme, Minna Lanz, Jyrki Latokartano, Joni Kamarainen |
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| Přispěvatelé: | Tampere University, Mechanical Engineering and Industrial Systems, Research area: Manufacturing and Automation, Signal Processing, Research group: Vision, Automation and Hydraulic Engineering, Research group: Robotics and Automation |
| Rok vydání: | 2018 |
| Předmět: |
Flexibility (engineering)
0209 industrial biotechnology Vision based Computer science 213 Electronic automation and communications engineering electronics System safety 02 engineering and technology Human–robot interaction Technology analysis 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Work (electrical) Systems engineering General Earth and Planetary Sciences Active vision General Environmental Science |
| Zdroj: | Procedia CIRP. 72:111-116 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2018.03.043 |
| Popis: | Safety in human-robot collaborative manufacturing is ensured by various types of safety systems that help to avoid collisions and limit impact forces to the acceptable level in a case of collisions. Recently, active vision-based safety systems have gained momentum due to their affordable price (e.g. off-the-shelf RGB or depth cameras and projectors), flexible installation and easy tailoring. However, these systems have not been widely adopted and standardized. The vision-based commercial products can only be found in a limited number. In this work, we review the recent methods in vision-based technologies applied in human-robot interaction and/or collaboration scenarios, and provide a technology analysis of these. The aim of this review is to provide a comparative analysis of the current readiness level of vision based safety systems for industrial requirements and highlight the important components that are missing. The factors that are analysed as such are use case flexibility, system speed and level of collaboration. publishedVersion |
| Databáze: | OpenAIRE |
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