AI让探测车速度提至1米/秒，提升火星探索效率
AI-Enabled Capabilities to Facilitate Next-Generation Rover Surface Operations
- 用视觉算法实时识别远距离障碍物，支持高速行进
- 多机器人协作系统实现资源自主利用，提速至1.0米/秒
- 适合未来火星任务的自主探测与人机协同场景
当前行星探测车行驶速度约为10厘米/秒，严重限制了勘探效率。本文提出集成AI系统，通过三个组件显著提升自主性：(i) FASTNAV远距离障碍物检测器（FOD），基于计算机视觉实现障碍物识别，使探测车可持续达到1.0米/秒的速度；(ii) CISRU多机器人协同框架，支持人机协作开展原位资源利用；(iii) ViBEKO与AIAXR深度学习驱动的地形分类研究。在火星类比环境中的实地验证表明，这些系统已达到技术成熟度等级4（TRL4），在行进速度、分类准确率和操作安全性方面均有可测量提升，为下一代行星任务提供关键技术支撑。
原文摘要 · Abstract (English)
Current planetary rovers operate at traverse speeds of approximately 10 cm/s, fundamentally limiting exploration efficiency. This work presents integrated AI systems which significantly improve autonomy through three components: (i) the FASTNAV Far Obstacle Detector (FOD), capable of facilitating sustained 1.0 m/s speeds via computer vision-based obstacle detection; (ii) CISRU, a multi-robot coordination framework enabling human-robot collaboration for in-situ resource utilisation; and (iii) the ViBEKO and AIAXR deep learning-based terrain classification studies. Field validation in Mars analogue environments demonstrated these systems at Technology Readiness Level 4, providing measurable improvements in traverse speed, classification accuracy, and operational safety for next-generation planetary missions.
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