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

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Mohamad Bdiwi - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Sebastian Krusche - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Jayanto Halim - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Paul Eichler - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Shuxiao Hou - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Aquib Rashid - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Ibrahim Al Naser - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Steffen Ihlenfeldt - , Chair of Machine Tools Development and Adaptive Controls, Fraunhofer Institute for Machine Tools and Forming Technology (Author)

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

Original languageEnglish
Title of host publicationIEEE International Symposium on Robotic and Sensors Environments, ROSE 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (electronic)9781665489232
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

SeriesInternational Workshop on Robot Sensing (ROSE)

Conference

Title15th IEEE International Symposium on Robotic and Sensors Environments
Abbreviated titleROSE 2022
Conference number15
Duration14 - 15 November 2022
Website
LocationKhalifa University & Online
CityAbu Dhabi
CountryUnited Arab Emirates

Keywords

Keywords

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