2026-10-12T04:32:21Z https://www.scidb.cn/oai

10.57760/sciencedb.j00240.00061 2026-03-17T14:27:10Z

2026-03-17 Mindexplore doi:10.57760/sciencedb.j00240.00061 en This dataset is a high-quality, multimodal embodied intelligence dataset for space-based intelligence and extraterrestrial surface exploration. Addressing the challenge of unreliable long-range planning for robots in exploring unknown planetary surfaces, the dataset simulates unstructured extraterrestrial scenarios using real-world environments, collecting 168 real long-range trajectories (over 38,000 steps, integrating high-precision surface observation data from multi-view RGB and LiDAR), and constructing 37,000 thought chains and command compliance data. The data covers typical space-based application tasks such as autonomous navigation, dynamic obstacle avoidance, and sample manipulation. By pioneering the introduction of a structured reasoning architecture, the dataset deeply decomposes exploration commands, breaking through the black-box bottleneck of traditional large models and significantly improving the decision-making coherence of long-range tasks. This dataset aims to provide a solid perception-decision-action data foundation for developing highly reliable planetary exploration robots. Multimodal Large Language Model; Chain of thought; Embodied Intelligence Weiying Xie Daixun Li Leyuan Fang Yunsong Li Sibo He jiayun Tian Yusi Zhang Mingxiang Cao PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank