Doosan robot. Synthetic Human-Robot Collaboration (HRC) dataset for the paper: Hybrid Deep Learning-Reinforcement Learning for Adaptive Human-Robot Task Allocation in Industry 5.0.

<b>Title</b>: "Synthetic HRC Dataset for Adaptive Task Allocation"<b>Author</b>: Claudio Urrea<b>Affiliatin</b>: Electrical Engineering Department, University of Santiago of Chile<b>Description</b>: This dataset contains 1,000 synthetic Human-Robot Collaboration (HRC) episodes used to evaluate a hybrid Deep Learning and Reinforcement Learning (DL-RL) framework for adaptive task allocation in Industry 5.0, as described in the paper "Hybrid Deep Learning-Reinforcement Learning for Adaptive Human-Robot Task Allocation in Industry 5.0." by Claudio Urrea. The dataset includes performance metrics, simulation logs, and an expanded synthetic dataset with human-state, robot-performance, and task attributes. See README<i>_dataset.txt for details.</i><br>