Estimating probability of human hand intrusion for speed and separation monitoring using interference theory

Eugene Kim; Robin Kirschner; Yoji Yamada; Shogo Okamoto

doi:10.1016/j.rcim.2019.101819

Estimating probability of human hand intrusion for speed and separation monitoring using interference theory

Eugene Kim
, Robin Kirschner
, Yoji Yamada
, Shogo Okamoto

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

30 Zitate (Scopus)

Abstract

Human Robot Collaboration (HRC) has attracted high attention in modern manufacturing. Recently, a safety standard for collaborative robots has been launched (ISO/TS 15066). It cover the safety function of Speed and Separation Monitoring (SSM) which includes velocities and positions of the human and the robot. However, risk should be discussed with probability, while the SSM is not. Therefore, the probability of intrusion was calculated according to the stopping time of the robot and the maximum speed of the robot. Since the SSM was testified along the simulation by far, actual adhesive applying task was carried out in this paper.

Originalsprache	Englisch
Aufsatznummer	101819
Fachzeitschrift	Robotics and Computer-Integrated Manufacturing
Jahrgang	61
DOIs	https://doi.org/10.1016/j.rcim.2019.101819
Publikationsstatus	Veröffentlicht - Feb. 2020
Extern publiziert	Ja

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10.1016/j.rcim.2019.101819

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title = "Estimating probability of human hand intrusion for speed and separation monitoring using interference theory",

abstract = "Human Robot Collaboration (HRC) has attracted high attention in modern manufacturing. Recently, a safety standard for collaborative robots has been launched (ISO/TS 15066). It cover the safety function of Speed and Separation Monitoring (SSM) which includes velocities and positions of the human and the robot. However, risk should be discussed with probability, while the SSM is not. Therefore, the probability of intrusion was calculated according to the stopping time of the robot and the maximum speed of the robot. Since the SSM was testified along the simulation by far, actual adhesive applying task was carried out in this paper.",

keywords = "Human-robot collaboration, Interference theory, Speed and separation monitoring, Unstructured manufacturing",

author = "Eugene Kim and Robin Kirschner and Yoji Yamada and Shogo Okamoto",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2020",

month = feb,

doi = "10.1016/j.rcim.2019.101819",

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journal = "Robotics and Computer-Integrated Manufacturing",

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T1 - Estimating probability of human hand intrusion for speed and separation monitoring using interference theory

AU - Kim, Eugene

AU - Kirschner, Robin

AU - Yamada, Yoji

AU - Okamoto, Shogo

PY - 2020/2

Y1 - 2020/2

N2 - Human Robot Collaboration (HRC) has attracted high attention in modern manufacturing. Recently, a safety standard for collaborative robots has been launched (ISO/TS 15066). It cover the safety function of Speed and Separation Monitoring (SSM) which includes velocities and positions of the human and the robot. However, risk should be discussed with probability, while the SSM is not. Therefore, the probability of intrusion was calculated according to the stopping time of the robot and the maximum speed of the robot. Since the SSM was testified along the simulation by far, actual adhesive applying task was carried out in this paper.

AB - Human Robot Collaboration (HRC) has attracted high attention in modern manufacturing. Recently, a safety standard for collaborative robots has been launched (ISO/TS 15066). It cover the safety function of Speed and Separation Monitoring (SSM) which includes velocities and positions of the human and the robot. However, risk should be discussed with probability, while the SSM is not. Therefore, the probability of intrusion was calculated according to the stopping time of the robot and the maximum speed of the robot. Since the SSM was testified along the simulation by far, actual adhesive applying task was carried out in this paper.

KW - Human-robot collaboration

KW - Interference theory

KW - Speed and separation monitoring

KW - Unstructured manufacturing

UR - https://www.scopus.com/pages/publications/85067177483

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DO - 10.1016/j.rcim.2019.101819

M3 - Article

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SN - 0736-5845

VL - 61

JO - Robotics and Computer-Integrated Manufacturing

JF - Robotics and Computer-Integrated Manufacturing

M1 - 101819

ER -

Estimating probability of human hand intrusion for speed and separation monitoring using interference theory

Abstract

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