Human-Robot Hugging Interaction Dataset

本数据集名为“Human-Robot Hugging Interaction Dataset”，由亚利桑那州立大学计算、信息与决策系统工程学院创建。数据集包含353次人与机器人拥抱互动的记录，通过部署Baxter人形机器人和穿戴传感器在人身上收集。数据集内容包括机器人和人的动作、位置和压力等详细信息。创建过程中，33名参与者在最小指导下与机器人进行拥抱，确保数据的自然性和多样性。该数据集主要用于训练机器学习模型，使机器人能够预测和响应人的拥抱动作，适用于人机交互、社交机器人等领域，旨在增强人机之间的信任和协作。

This dataset, named "Human-Robot Hugging Interaction Dataset", was created by the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. It contains 353 records of human-robot hugging interactions, collected by deploying the Baxter humanoid robot and equipping participants with wearable sensors. The dataset includes detailed information such as the movements, positions, and applied pressures of both the robot and the human participants. During its development, 33 participants performed hugging interactions with the robot with minimal guidance, ensuring the naturalness and diversity of the collected data. This dataset is primarily intended for training machine learning models to enable robots to predict and respond to human hugging behaviors, and is applicable to fields such as human-robot interaction and social robotics, aiming to enhance trust and collaboration between humans and robots.