ROBOMECH Journal (Feb 2023)

A SafeML extension for a unified risk assessment to diverse service robots

  • Takao Miyoshi,
  • Yoshihiro Nakabo,
  • Hidetoshi Fukui,
  • Makoto Yashiro,
  • Iko Miyazawa,
  • Takeshi Sakamoto,
  • Noriaki Ando,
  • Toru Kuga,
  • Atsushi Kitamura,
  • Kenichi Ohara,
  • Tetsuya Kimura

DOI
https://doi.org/10.1186/s40648-023-00245-z
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 11

Abstract

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Abstract Risk assessment is one of the important processes in the social implementation of robots. In risk assessment and safety design of systems with various stakeholders, modeling and visualization of related elements are important not only for designers but also for users. We examined the use of SafeML in the process and proposed its extension for the purpose for missing elements.

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