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CVPR2025Top-tier venue

MNE-SLAM: Multi-Agent Neural SLAM for Mobile Robots

Tianchen Deng, Guole Shen, Chen Xun, Shenghai Yuan, Tongxin Jin, Hongming Shen, Yanbo Wang, Jingchuan Wang, Hesheng Wang, Danwei Wang, Weidong Chen

2025Year
8Top-tier citations

Abstract

Figure 1 . We present MNE-SLAM, the first distributed multi-agent collaborative SLAM system with distributed mapping and camera tracking, joint implicit neural scene representation, intra-to-inter loop closure, and multiple submap fusion. Depicted at the bottom, we demonstrate the real-world, large-scale long-corridor scenes (≈1000 m 2 ) with high-accuracy 3D groundtruth mesh. This scene is collected through various industrial laser scans. We display the rendered depth and color image of different type of agents around the corridor. The trajectory of each agent is marked in a unique color for clarity.

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