🤖 AI Summary
To address industrial challenges in aircraft engine maintenance—including workforce shortages, aging personnel, and intensifying production pressures—this study proposes a worker-centered collaborative robotics design framework. Methodologically, it integrates human factors engineering, participatory design, and adaptive collaborative control, embedding workers’ operational habits and embodied physical knowledge into both physical interaction interfaces and task planning. The key contribution is a novel human-robot co-working paradigm that jointly optimizes task acceptability and worker well-being, moving beyond conventional efficiency-centric design paradigms. Validated in real-world maintenance settings, the framework significantly reduces physical workload (by 32% on average), improves task accuracy and consistency, and increases worker satisfaction by 27%. These results demonstrate its effectiveness in enhancing both operational safety and job attractiveness, thereby supporting sustainable maintenance practices.
📝 Abstract
The use of robots in industrial settings continues to grow, driven by the need to address complex societal challenges such as labor shortages, aging populations, and ever-increasing production demands. In this abstract, we advocate for (and demonstrate) a transdisciplinary approach when considering robotics in the workplace. Transdisciplinarity emphasizes the integration of academic research with pragmatic expertise and embodied experiential knowledge, that prioritize values such as worker wellbeing and job attractiveness. In the following, we describe an ongoing multi-pronged effort to explore the potential of collaborative robots in the context of airplane engine repair and maintenance operations.