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Intensidad de la carga de trabajo en la colaboración humano-robot: un enfoque personalizado para la eficiencia
Aljaz Javernik1, Robert Ojstersek1, Katja Kerman1
1University of Maribor, Slovenia.
Human factors
|February 11, 2026
Resumen
La personalización del ritmo del robot colaborativo a la capacidad del trabajador mantiene la eficiencia de la tarea y reduce el estrés fisiológico. Este enfoque es clave para los lugares de trabajo centrados en el ser humano, equilibrando la productividad con el bienestar.
Área de la Ciencia:
- Colaboración hombre-robot.
- Salud ocupacional y salud en el trabajo.
- La ergonomía es la ergonomía.
Sus antecedentes:
- La colaboración humano-robot (HRC) aumenta la productividad, pero a menudo pasa por alto la tensión del trabajador.
- La alta intensidad de la carga de trabajo, especialmente del ritmo del robot, aumenta el estrés fisiológico.
- Los sistemas actuales de HRC carecen de personalización, no se adaptan a las capacidades individuales de los trabajadores.
Objetivo del estudio:
- Examinar cómo la intensidad de la carga de trabajo y las condiciones personalizadas afectan el estrés y la eficiencia en HRC.
- Comprender el impacto del ritmo del robot en las respuestas fisiológicas y el rendimiento de la tarea.
- Informar el diseño de sistemas HRC centrados en el ser humano.
Principales métodos:
- Dos experimentos que involucran una tarea de ensamblaje con un robot colaborativo (CR).
- Estres fisiológico evaluado utilizando indicadores de variabilidad de la frecuencia cardíaca (VCR).
- Evaluación del rendimiento de la tarea a través del tiempo de ensamblaje (AT) y parámetros de movimiento personalizados de CR.
Principales resultados:
- La alta carga de trabajo redujo el tiempo de ensamblaje, pero aumentó la frecuencia cardíaca y disminuyó los indicadores de estrés (RMSSD).
- El ritmo personalizado de CR mantuvo la eficiencia al tiempo que redujo la frecuencia cardíaca y mejoró los indicadores de estrés.
- No se observaron cambios significativos en la potencia de alta frecuencia (HF).
Conclusiones:
- La intensidad de la carga de trabajo tiene un impacto directo en la eficiencia de HRC y el estrés del trabajador.
- La personalización de los parámetros de movimiento de CR a la capacidad del trabajador mejora el bienestar sin sacrificar el rendimiento.
- Las estrategias adaptativas de HRC son vitales para la productividad sostenible y la salud de los trabajadores.
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