Research map / Vision-language and multimodal / Robot action and navigation
Neural Topological SLAM for Visual Navigation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a topological graph with learned geometric and semantic scoring | Image-goal navigation · Gibson RGB overall | success rate: 0.35 -> 0.55 | Helped |
| Use a topological graph with learned geometric and semantic scoring | Image-goal navigation · Gibson RGBD overall | success rate: 0.44 -> 0.63 | Helped |
| Use a topological graph with learned geometric and semantic scoring | Image-goal navigation · Gibson RGBD hard | success rate: 0.16 -> 0.43 | Helped |
| Add semantic score prediction to select promising unexplored areas (ablation) | Neural Topological SLAM (NTS) · Sequential image-goal navigation | success rate | Helped |
| Add and maintain a topological graph instead of greedily choosing directions (ablation) | Neural Topological SLAM (NTS) · Sequential image-goal navigation | success rate | Helped |
Closest papers by meaning
- Change-Robust Online Topological Memory for Long-Term Relocalization and Semantic Navigation (NeurIPS 2026 · similarity 0.88)
- Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation (NeurIPS 2025 · similarity 0.86)
- Query Quantized Neural SLAM (AAAI 2025 · similarity 0.86)
- MemoNav: Working Memory Model for Visual Navigation (CVPR 2024 · similarity 0.86)
- Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation (CVPR 2024 · similarity 0.86)
- Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction (ICLR 2024 · similarity 0.85)
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