ロボットのリスクアセスメント記述モデルによるSafeMLの評価

三好 崇生; 中坊 嘉宏; 福井 秀利; 屋代 眞; 宮澤 以鋼; 坂本 武志; 安藤 慶昭; 空閑 融; 大塚 敏史; 北村 篤史; 小林 英津子; 桑名 健太; 大原 賢一

doi:10.1299/jsmermd.2023.2P1-D06

2023

Session ID : 2P1-D06

DOI https://doi.org/10.1299/jsmermd.2023.2P1-D06

Conference information

Host: The Japan Society of Mechanical Engineers

Name : [in Japanese]

Date : June 28, 2023 - July 01, 2023

Evaluation of SafeML by robot risk assessment description model

*Takao MIYOSHI, Yoshihiro NAKABO, Hidetoshi FUKUI, Makoto YASHIRO, Iko MIYAZAWA, Takeshi SAKAMOTO, Noriaki ANDO, Toru KUGA, Satoshi OTSUKA, Atsushi KITAMURA, Etsuko KOBAYASHI, Kenta KUWANA, Kenichi OHARA

Author information

*Takao MIYOSHI
CYBERNET MBSE Co., Ltd.
Yoshihiro NAKABO
National Institute of Advanced Industrial Science and Technology
Hidetoshi FUKUI
IDEC CORPORATION
Makoto YASHIRO
University of Aizu
Iko MIYAZAWA
Kanagawa Institute of Industrial Science and Technology
Takeshi SAKAMOTO
GLOBAL ASSIST Co., Ltd.
Noriaki ANDO
National Institute of Advanced Industrial Science and Technology
Toru KUGA
Yanmar Holdings Co., Ltd.
Satoshi OTSUKA
Hitachi, Ltd.
Atsushi KITAMURA
Robot Revolution & Industrial IoT Initiative
Etsuko KOBAYASHI
University of Tokyo
Kenta KUWANA
Tokyo Denki University
Kenichi OHARA
Meijo University

Keywords: Robot, Safety, SysML, SafeML, MBSE

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details

Abstract

Using SafeML2.0 formulated in the RRI, we created various robot risk assessments as a description model. In the process of creating a description model, complicated risk assessments showed issues due to the current language specifications. Based on these issues, we will report that issues have been implemented and evaluated for future SafeML expansion.

Corresponding author

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