A methodology to quantitatively evaluate the safety of a glazing robot

Lee, Seung‐Yeol; Yu, Seung-Nam; Choi, Junho; Han, Changsoo

doi:10.1016/j.apergo.2010.09.002

Cited by 13 publications

(4 citation statements)

References 30 publications

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“…The analysis of the postural attitude of the worker during the interaction with workstation’s elements and working environment is essential in the evaluation and prevention of biomechanical overload risks in workplaces [1]. Awkward working postures may decrease the workers’ concentration and increase accidents frequency and biomechanical overload [2,3,4,5,6], giving rise to musculoskeletal disorders in the different body regions involved, as at the main limb joints level and the vertebral column [7].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment for Musculoskeletal Disorders in Forestry: A Comparison between RULA and REBA in the Manual Feeding of a Wood-Chipper

Cremasco

Giustetto

Caffaro

et al. 2019

IJERPH

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The analysis of the postural attitude of workers during the interaction with workstation’s elements and working environment is essential in the evaluation and prevention of biomechanical overload risk in workplaces. RULA (Rapid Upper Limb Assessment) and REBA (Rapid Entire Body Assessment) are the two easiest methods for postural risk assessment in the workplace. Few studies investigated postural risk in forestry sector with regard to human–machine interaction, in particular manually fed wood-chippers. The aim of this study was to evaluate the postures assumed by an operator during the manual feeding of a wood-chipper, and to compare RULA and REBA, in order to identify the more effective and appropriate method for the assessment of the risk of biomechanical postural overload. The results pointed out several postural issues of the upper limbs, and showed that RULA is a more precautionary method to protect operator’s health during the targeted tasks. Implications to improve the human–wood-chipper interaction are discussed.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment for Musculoskeletal Disorders in Forestry: A Comparison between RULA and REBA in the Manual Feeding of a Wood-Chipper

Cremasco

Giustetto

Caffaro

et al. 2019

IJERPH

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“…An on-line control strategy is implemented to complete motion re-plan using early prediction of human motion by (Mainprice & Berenson, 2013). The author of (Lee, Yu, Choi, & Han, 2011) proposes a quantitative safety assessment approach that uses workers and the work environment as assessment targets, assesses the risk factors that can lead to various accidents, and assesses operational risk by considering the time workers are exposed to high-risk work environments. Bdiwi et al (Bdiwi et al, 2017) studied the parameters of industrial robots for safety risk assessment under various collaboration levels and proposed a workspace monitoring algorithm.…”

Section: Risk Assessment Of Industrial Robotsmentioning

confidence: 99%

Dynamic risk assessment and active response strategy for industrial human-robot collaboration

Liu

Wang

Cai

et al. 2020

Computers & Industrial Engineering

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“…Automation, as an engineering approach, can be effective in solving MSD problems. Lee, Yu, Choi, and Han () found that using an automated robot to glue large glass panels was much safer than gluing them manually at a construction site. They developed a safety index that takes into account postural load factors, using the Ovako Working posture Analysing System (OWAS), Rapid Upper Limb Assessment (RULA) system, and Rapid Entire Body Assessment (REBA) system, as well as work environmental factors identified through questionnaires, and the duration of risk exposure.…”

Section: Introductionmentioning

confidence: 99%

Development of ergonomic gun barrel cleaning method: Automation and its advantages

Nam

Lee

Kyung

et al. 2017

Hum Ftrs & Erg Mfg Svc

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The aims of this study were to assess postural risks associated with the current gun barrel cleaning method and to develop an ergonomic gun barrel cleaning method that could reduce such risks. The inner surfaces of gun barrels should be cleaned after use to maintain their firing function. The current method of cleaning gun barrels requires multiple soldiers to push and pull a long cleaning pole for 1–3 hr. Such motions require both hands to be raised to shoulder height. The current manual method and a newly designed automated method were compared in terms of safety and effectiveness. Postural risk assessments were performed using OWAS, RULA, and REBA. Results: The manual cleaning method involves the highest postural risk level (Action Category/Level 4), requiring immediate intervention, and exposes multiple soldiers to life‐threatening situations for a longer time during wartime. The postural risk associated with using the automated cleaning system was much lower (Action Category/Level 2). Once loaded into the gun barrel by a single soldier, the automated system takes approximately 20 min to complete cleaning. The automated cleaning method reduces musculoskeletal disorder risks associated with cleaning gun barrels and increases military power. The automated gun barrel cleaning method is an ergonomic solution that can be used for cleaning gun barrels within a short time without exposing soldiers to postural risks.

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A methodology to quantitatively evaluate the safety of a glazing robot

Cited by 13 publications

References 30 publications

Risk Assessment for Musculoskeletal Disorders in Forestry: A Comparison between RULA and REBA in the Manual Feeding of a Wood-Chipper

Risk Assessment for Musculoskeletal Disorders in Forestry: A Comparison between RULA and REBA in the Manual Feeding of a Wood-Chipper

Dynamic risk assessment and active response strategy for industrial human-robot collaboration

Development of ergonomic gun barrel cleaning method: Automation and its advantages

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