Dataset for “Combined model‑based and data‑driven approach for the control of a soft robotic neck”

This dataset supports the article titled *“Combined model‑based and data‑driven approach for the control of a soft robotic neck”*, published in *Robotics and Autonomous Systems* in 2025. The study investigates a hybrid control strategy that combines an analytical model of a soft robotic neck with a multilayer perceptron (MLP) neural network trained on experimental data. The goal is to minimize position errors while maintaining a hybrid solution that includes models trained using deep learning techniques, without discarding the purely analytical model of inverse kinematics for the soft robotic neck.