1. The NASA-TLX approach to understand workers workload in humanrobot collaborationAljaž Javernik, Borut Buchmeister, Robert Ojsteršek, 2023, original scientific article Abstract: Human-robot collaboration (HRC) is becoming increasingly widespread in today's production systems, as it can contribute to achieving more efficient and flexible production systems. Given the growing importance of HRC, this paper addresses the significance of human workload in HRC. To study workers workload an experiment was conducted using NASA-TLX questionnaire. The experiment featured two scenarios involving the same operation but varying robot motion parameters. Recognizing that individual differences contribute to success of collaboration, the experiment considered worker utilization in relation to robot motion parameters. To ensure the credibility of the experimental results, the robot motion parameters were adjusted to each individual in order to achieve the same conditions and utilization at all participants. Results revealed that worker utilization, in conjunction with robot motion parameters significantly influenced worker workload. The results highlight the need for personalized guidelines in collaborative workplaces that emphasize individual differences in abilities, skills and personalities to increase overall well-being and robot and worker productivity.
Keywords: human-robot collaboration, industry 5.0, collaborative workplace, NASA-TLX, safety awareness, worker well-being, worker workload
Published in DKUM: 10.03.2025; Views: 0; Downloads: 4
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2. Personalizing human–robot workplace parameters in human-centered manufacturingRobert Ojsteršek, Borut Buchmeister, Aljaž Javernik, 2024, original scientific article Abstract: This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental scenarios with different CR parameters were analyzed in terms of the setup time, assembly time, finished products, work in process, and worker utilization. The main results show that personalized CR parameters significantly improve efficiency and productivity. The scenario in which CR parameters were tailored to individual workers, balanced the workload, and minimized worker stress, resulting in higher productivity compared to non-people-centric settings. The study shows that personalization reduces cognitive and physical stress, promotes worker well-being, and is consistent with the principles of human-centered manufacturing. Overall, our research supports the adoption of personalized, collaborative workplace parameters, supported by the mathematical model, to optimize employee efficiency and health, contributing to human-centered and efficient HRC environments.
Keywords: human–robot workplace, collaborative workplace, human-centered manufacturing, stress index, modelling, efficiencxy
Published in DKUM: 03.09.2024; Views: 38; Downloads: 17
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3. The impact of changing collaborative workplace parameters on assembly operation efficiencyKlemen Kovič, Aljaž Javernik, Robert Ojsteršek, Iztok Palčič, 2024, original scientific article Abstract: Human–robot collaborative systems bring several benefits in using human and robot capabilities simultaneously. One of the critical questions is the impact of these systems on production process efficiency. The search for high-level efficiency is severely dependent on collaborative robot characteristics and motion parameters, and the ability of humans to adjust to changing circumstances. Therefore, our research analyzes the effect of the changing collaborative robot motion parameters, acoustic parameters and visual factors in a specific assembly operation, where efficiency is measured through operation times. To conduct our study, we designed a digital twin-based model and a laboratory environment experiment in the form of a collaborative workplace. The results show that changing the motion, acoustic and visual parameters of the collaborative workplace impact the assembly process efficiency significantly.
Keywords: collaborative robot, collaborative workplace, digital twin, assembly operation, efficiency
Published in DKUM: 26.02.2024; Views: 301; Downloads: 22
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