ESR 13 Project Host: Pilz

Host institution: PILZ                 Duration 36 Months

Objectives: In Human-robot collaboration new models and paradigms are required to assess the safety of the interaction and how these new models can impact safety of machinery industry standards. Safety is one of the most critical aspects in this collaborative human-robot paradigm. This project will design experiments in the LIVE LAB 1 to measure the trust of workers on fenceless human-robot collaboration in industrial robotic applications as well as to assess the acceptance of different interaction mechanisms between robots and human beings and how data about safety metrics can be used to assess situations in a model that can be feasible to adopt real time.

Candidate Key requirements: 

  • The candidate must hold a Master of Science Degree or equivalent in Artificial Intelligence or Industrial Automation or other relevant engineering discipline with a grade suitable for admission to TU Dublin, allowing him/her access to the PhD courses. 
  • Practical experience of industrial automation projects. 
  • Demonstrated knowledge of health and safety requirements for industrial automation. 
  • Having an understanding of the EU CE Marking framework and Harmonised Standards would be an advantage. 
  • Ability to read and understand engineering drawings. 
  • Demonstrable capability of working within an interdisciplinary and international project team and ability to innovate. 
  • Good communication, organisation and interpersonal skills. 
  • Ability to work on multiple tasks and priorities actions. 
  • Proficiency in English Language. 
  • Candidate must be willing to relocate to the Location of employment (Remote working not possible). 

Expected Results:

Define industry best practice for safety performance monitoring & the field data need to assess safety of human robotics collaboration

Develop and assess a proposed configuration for human-robotics collaboration and analysis structure and algorithm to provide a data monitoring tool for risk intelligence of early warning of critical deviations

Validate the knowledge acquired and the approaches devised on real case study applications in LIVE LAB 1

Publish 2 high impact journal articles and present innovative solutions for the factory of the future at the Hannover Messe in 2022

Planned secondment(s): The PhD student is going to be seconded on M12 in FINK for 6 months work on LIVE LAB 1 and on M18 in POLITO for 12 months to investigate innovative system Safety engineering assessment methods applicable to human-robotics collaboration.