English(EN) MANTLE: A Framework for Adaptive In-Situ Planetary Perception Using a Modular Uplink Principle

MANTLE框架为火星探测器实现自适应行星感知

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员开发了MANTLE，一个专为自主机器人平台设计的自适应行星感知新框架。该系统利用共享的DINOv2骨干网络和特定任务的头部，用于地貌分类和巨石分割，在火星地形数据上实现了高精度。一项关键创新是模块化上行链路原理，允许在地球上训练新的感知能力并上传，而无需进行完整的模型再训练，从而使未来的探测器能够持续适应和改进。 AI

影响增强了行星探索的自主能力，实现了机器人系统的持续学习和适应。

排序理由该条目是一篇研究论文，详细介绍了一个新的行星感知框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Pranav Durai, Gary Doran · 2026-09-01 04:00

MANTLE：一种使用模块化上行链路原理的自适应原位行星感知框架

arXiv:2608.28724v1 Announce Type: new Abstract: Planetary surface exploration missions rely increasingly on autonomous robotic platforms capable of interpreting complex terrain to ensure safe navigation, enable targeted science, and improve operational efficiency, as demonstrated…

本文如何被排名

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MANTLE：一种使用模块化上行链路原理的自适应原位行星感知框架

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