A novel human-centred approach using Axiomatic Design and Kansei engineering for designing physically and cognitively safe human-robot collaborative workstations
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Summary
This summary is machine-generated.This study introduces a human-centered design approach for collaborative human-robot (HRC) workspaces, integrating Kansei Engineering and Axiomatic Design. It ensures both physical and cognitive well-being for safer, more productive Industry 5.0 environments.
Area Of Science
- Human-Robot Interaction
- Industrial Ergonomics
- Design Science
Background
- Industry 5.0 emphasizes human-robot collaboration (HRC), offering productivity benefits but raising safety and cognitive concerns.
- Existing HRC workstation designs often prioritize physical safety, neglecting integrated cognitive ergonomic considerations.
- A gap exists in holistic approaches addressing both physical and cognitive well-being in HRC workspace design.
Purpose Of The Study
- To present a novel, human-centered design methodology for HRC workstations.
- To integrate Kansei Engineering (KE) and Suh's Axiomatic Design (AD) for holistic workstation design.
- To ensure both physical and cognitive safety in Industry 5.0 collaborative workspaces.
Main Methods
- Combined Kansei Engineering (KE) with Suh's Axiomatic Design (AD).
- Applied both Axiom 1 (maintain independence) and Axiom 2 (minimize information) of Axiomatic Design.
- Demonstrated the approach through a case-study HRC workstation design.
Main Results
- Developed a novel approach combining KE and AD for HRC workstation design.
- Successfully integrated physical and cognitive ergonomic considerations.
- Illustrated the relationship between functional and physical metrics in workstation design.
Conclusions
- The proposed KE-AD approach offers a replicable, human-centered method for designing safe and effective HRC workstations.
- This study bridges theoretical frameworks and practical applications for Industry 5.0.
- Unifies cognitive and physical ergonomics for advanced human-robot collaboration.
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