Towards safety level definition based on the HRN approach for industrial robots in collaborative activities

Hippertt, Magno Paiva; Lazai, Marcio; Szejka, Anderson Luis; Canciglieri, Osíris; Loures, Eduardo Rocha; Santos, Eduardo Alves Portela

doi:10.1016/j.promfg.2020.01.139

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…These logics aim at supporting the decisionmaking process for the allocation of specific activities to robots, humans, or, if necessary, to both of them (human-robot collaboration) by using ratings based on different indicators. The implementation of the above-mentioned tools allows managers to perform preventive feasibility analyses of the collaborative processes taking into account all the aspects defined in the outlined indicators [21]. Moreover, these risk assessment methodologies allow determining the differences between different robots.…”

Section: Risk Assessment Methodologiesmentioning

confidence: 99%

“…Moreover, these risk assessment methodologies allow determining the differences between different robots. For instance, the Hazard rating number assigns specific risk coefficients to each of the analyzed machines [21]. Finally, it should be noted that the features of different risk assessment methods vary according to their target sector.…”

Section: Risk Assessment Methodologiesmentioning

confidence: 99%

“…A simulation allows making predictions about possible developments or effects deriving from the implementation of new technologies. Moreover, according to the existing literature, simulation tools are tested to model high-risk environments, (i.e., nuclear power plants [19]), and to design workspaces taking into account the relevance of ergonomics [20], possibly including specific technologies, e.g., robots, from the very beginning [21,22].…”

Section: Anticipation Of the Effects Of New Technologiesmentioning

confidence: 99%

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New and Emerging Hazards for Health and Safety within Digitalized Manufacturing Systems

et al. 2021

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The Fourth Industrial Revolution is radically reshaping the procedures and the manufacturing environments through the digitalization process. The digitalization process can change according to the context and to specific solutions, and it is able to modify manufacturing systems and production areas. All the employees are directly affected by the transformation of the working environment, manufacturing tools, and working conditions and by the increasing need for new competencies. In this context, it is crucial to identify new and emerging hazards concerning the health and safety of the employees to ensure a conscious and safe digital transformation for everyone involved. In this regard, the paper presents the state of the research and defines seven areas of interest for a safe and harmless digital transformation for the employees, drawing attention to the hazards in the different technological areas. The state of the research unveils the absence of detailed analysis to identify specific hazards of 4.0 technologies. Therefore, every specific 4.0 technologies is analyzed by an extensive review to provide a comprehensive matrix of new and emerging hazards for health and safety within digitalized manufacturing systems. The results can help manufacturing organizations to perform robust risk assessments for worker when introducing specific 4.0 technologies.

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Section: Risk Assessment Methodologiesmentioning

confidence: 99%

Section: Risk Assessment Methodologiesmentioning

confidence: 99%

Section: Anticipation Of the Effects Of New Technologiesmentioning

confidence: 99%

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New and Emerging Hazards for Health and Safety within Digitalized Manufacturing Systems

et al. 2021

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“…Additionally, DfR addresses the dynamics of human-robot interaction, which is especially vital in environments where they coexist and collaborate, like manufacturing plants or service industries. In these settings, DfR focuses on ensuring safety, efficiency, and harmony, which may involve redefining workspace layouts [27] or introducing new operational protocols [28,29] to enable seamless integration of robotic systems into the human work environment [30]. However, a notable research gap exists in assessing how environmental factors such as lighting conditions would impact robot inclusivity, and no autonomous system has been developed yet to evaluate the inclusivity of building infrastructure for robots.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Auditing Robot-Inclusivity of Indoor Environments Based on Lighting Condition

Zeng,

Yeo,

Borusu

et al. 2024

Buildings

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Mobile service robots employ vision systems to discern objects in their workspaces for navigation or object detection. The lighting conditions of the surroundings affect a robot’s ability to discern and navigate in its work environment. Robot inclusivity principles can be used to determine the suitability of a site’s lighting condition for robot performance. This paper proposes a novel framework for autonomously auditing the Robot Inclusivity Index of indoor environments based on the lighting condition (RII-lux). The framework considers the factors of light intensity and the presence of glare to define the RII-Lux of a particular location in an environment. The auditing framework is implemented on a robot to autonomously generate a heatmap visually representing the variation in RII-Lux of an environment. The applicability of the proposed framework for generating true-to-life RII-Lux heatmaps has been validated through experimental results.

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A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes

Ronzoni

Accorsi

Botti

et al. 2021

Journal of Manufacturing Systems

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Towards safety level definition based on the HRN approach for industrial robots in collaborative activities

Cited by 8 publications

References 4 publications

New and Emerging Hazards for Health and Safety within Digitalized Manufacturing Systems

New and Emerging Hazards for Health and Safety within Digitalized Manufacturing Systems

A Framework for Auditing Robot-Inclusivity of Indoor Environments Based on Lighting Condition

A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes

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