“地外探测无人系统自主智能精准感知与操控”关键考核指标第三方检测数据

本项目面向地外探测表面定点着陆、多地取样归集、移动采集分析和设施建造任务需求，围绕“复杂未知无约束环境多源传感器协同精准感知、面向物理化学性质不确定对象的自然柔顺精准操控、资源受限条件下轻量化计算与高效学习 ”关键科学问题，突破6项关键共性技术，构建无人系统智能感知与操控技术体系，形成学习训练平台和数字仿真软件，研制智能感知设备、轻量化计算平台和自然柔顺操控设备，建立地外探测自主智能精准感知与操控试验验证系统，解决地外探测危险识别难、移动速度慢、作业精度低等突出瓶颈问题。基于项目考核指标，进行第三方检测，记录了第三方检测的原始数据和检测结果数据。

This project is oriented towards the task requirements of fixed-point surface landing, multi-location sample collection and consolidation, mobile acquisition and analysis, and facility construction for extraterrestrial exploration. Focusing on the key scientific issues including collaborative accurate perception of multi-source sensors in complex unknown unconstrained environments, natural compliant accurate manipulation for objects with uncertain physico-chemical properties, and lightweight computing and efficient learning under resource-constrained conditions, this project breaks through 6 key common technologies, constructs the intelligent perception and manipulation technology system for unmanned systems, develops a learning and training platform and digital simulation software, develops intelligent perception equipment, lightweight computing platforms and natural compliant manipulation equipment, and establishes an autonomous intelligent accurate perception and manipulation test and verification system for extraterrestrial exploration. It addresses prominent bottleneck problems in extraterrestrial exploration such as difficult hazard identification, low moving speed and low operation accuracy. Based on the project assessment indicators, third-party testing was carried out, and the original test data and test result data from the third party were recorded.

搜集汇总

背景与挑战

背景概述

该数据集是“地外探测无人系统自主智能精准感知与操控”国家重点研发计划项目的第三方检测数据，记录了针对地外探测无人系统在复杂未知环境中多源传感器协同感知、自然柔顺操控等关键技术的考核指标原始数据和检测结果。数据集聚焦人工智能领域，数据量较小（8.17MB，2个文件），旨在支持地外探测任务中危险识别、移动速度和作业精度等瓶颈问题的研究验证。