A SafeML extension for a unified risk assessment to diverse service robots-Reference-Cited by-同舟云学术

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

Published:2023-02-21 Issue:1 Volume:10 Page:
ISSN:2197-4225
Container-title:ROBOMECH Journal
language:en
Short-container-title:Robomech J

Author:

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

Abstract

AbstractRisk 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.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering,Instrumentation,Modeling and Simulation

Link

https://link.springer.com/content/pdf/10.1186/s40648-023-00245-z.pdf

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