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Ergonomics Analysis for a Simulation Approach to Human-Robot Collaborative Task Allocation

delete2025-09-01
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PRE
AI
A
Anna Konstant
N
Nathan E. White
B
Bilge Mutlu
R
Robert G. Radwin *
DOI：10.1080/24725838.2025.2562469delete
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Abstract

Abstract

En 中文
Background: Human-robot collaborations can help reduce physical stresses and improve productivity when tasks are optimally assigned. Assigning tasks between a worker and a collaborative robot is a complex challenge. There are many factors to consider, such as the level of collaboration, the skill required, limitations of both the human and the robot, and organizational goals (e.g., productivity, ergonomics, economics). Purpose: We developed an algorithmic reinforcement learning-based simulation approach with a Petri-net scheduler to allocate tasks between humans and robots in physically demanding manufacturing jobs using prioritization metrics. We discuss details of the ergonomics and productivity considerations for such an approach. Methods: A case study of an assembly job in an automobile plant is described. An ergonomics analysis of the existing job included using the 3D Static Strength Prediction Program, the Composite Strain Index, and a metabolic energy expenditure model. We then modeled the job for the worker performing the job alone using the simulation algorithm and finally compared the analyses to the optimized human-robot collaboration. Results: The simulation resulted in less physical stress for the optimized human-robot collaboration than when the task was performed by the worker alone. The total energy expenditure rate was reduced by 0.34 kcal/min, the total composite strain index was reduced by 1.48, and cycle time decreased by 6 s for the simulated human-robot collaboration. Conclusions: The simulation approach was successful in identifying optimal task assignments between the human worker and the robot. These methods should be useful in integrating collaborative robots to assist workers.
Keywords:
EXPOSURE ASSESSMENT
STRAIN INDEX
EQUATION

Journal

I
IISE Transactions on Occupational Ergonomics and Human Factors
IF:
1.8
Papers:
3
Citations:
485

Organization

No organization information available