Situational zone-based robot control for heterogeneous safety sensors in agile HRI applications

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Mohamad Bdiwi - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Sebastian Krusche - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Jayanto Halim - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Paul Eichler - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Shuxiao Hou - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Aquib Rashid - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Ibrahim Al Naser - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Steffen Ihlenfeldt - , Professur für Werkzeugmaschinenentwicklung und adaptive Steuerungen, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)

Abstract

According to the standard ISO/TS 15066, a human-robot shared workspace could be divided into different zones with various collaborative modes. Usually, this division is based on the distance between human and robot, the level of human-robot interaction 'HRI', and the risk assessment. These factors define the robot velocity and the required sensors for ensuring human safety in every zone and every operation mode separately. This procedure could generally ensure human safety during interaction with industrial robots. However, productivity, efficiency and diversity of the shared tasks have been overtaken. This work proposes a system that simultaneously can use heterogeneous safety sensors in all collaborative operation modes. Furthermore, it presents situational zone-based robot control with the help of 3D advanced selection matrices. Every robot-subspace could be vision-, force-, or position-controlled in every zone, depending on the tasks and safety requirements. Using the proposed system, heavy-duty and collaborative robot 'cobots' can perform various shared tasks with humans safely and efficiently. The proposed approach is tested in one use case in the automotive industry.

Details

OriginalspracheEnglisch
TitelIEEE International Symposium on Robotic and Sensors Environments, ROSE 2022 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
ISBN (elektronisch)9781665489232
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Publikationsreihe

ReiheInternational Workshop on Robot Sensing (ROSE)

Konferenz

Titel15th IEEE International Symposium on Robotic and Sensors Environments
KurztitelROSE 2022
Veranstaltungsnummer15
Dauer14 - 15 November 2022
Webseite
OrtKhalifa University & Online
StadtAbu Dhabi
LandVereinigte Arabische Emirate

Schlagworte

Schlagwörter

  • human robot collaboration, industry 4.0, robot control, safety sensors