arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2504.16914cs.RO

MorphoNavi:基于数字孪生中面向对象地图的空地机器人导航

MorphoNavi: Aerial-Ground Robot Navigation with Object Oriented Mapping in Digital Twin

Intelligent Space Robotics Laboratory, CDE, Skoltech(智能空间机器人实验室,Skoltech)

Sausar Karaf, Mikhail Martynov, Oleg Sautenkov, Zhanibek Darush, Dzmitry Tsetserukou

AI总结:

本文提出一种基于单目相机和面向对象建图的空地机器人导航方法,在数字孪生中实现无需微调的物体检测与定位,并通过搜救场景验证其有效性。

摘要:

本文提出了一种新颖的建图方法,用于配备单个单目相机的通用空地机器人系统。该系统能够检测多种物体并估计其位置,而无需针对特定环境进行微调。通过模拟的搜索与救援场景评估了系统性能,其中MorphoGear机器人成功定位了一只机器狗,同时操作员监控整个过程。这项工作有助于开发能够在非结构化环境中运行的智能多模态机器人系统。

英文摘要:

This paper presents a novel mapping approach for a universal aerial-ground robotic system utilizing a single monocular camera. The proposed system is capable of detecting a diverse range of objects and estimating their positions without requiring fine-tuning for specific environments. The system's performance was evaluated through a simulated search-and-rescue scenario, where the MorphoGear robot successfully located a robotic dog while an operator monitored the process. This work contributes to the development of intelligent, multimodal robotic systems capable of operating in unstructured environments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑