Recommendations for Datasets Creation Process for Human Motion Generation in Industrial Simulations

Humans are crucial for industrial layout planning and technological design, as seen in assembly lines and order-picking layouts. These fields aim to incorporate robots for human convenience and collaboration, striving towards Industry 5.0. As a result, simulation, virtual and digital twin environments are used to facilitate employee training, ergonomic evaluations, and task modelling. Human motion generation for robotics and industrial simulation environments can accelerate process analysis by simplifying the generation of human motions. Given the data-intensive nature of generative models, human motion datasets containing industrial scenarios, terminologies and appropriate textual annotation are necessary. Thus, the key contribution of this work is a novel dataset collection framework for futuristic, industrial, large-scale datasets that can be adapted to the dataset requirements of human motion generation models. In addition, we aim to bring together the human motion generation, dataset and industrial simulation community by providing a platform for discussion and exchange.