Research map / Vision-language and multimodal / Robot action and navigation
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train the sequence-to-sequence agent with student-forcing instead of teacher-forcing | LSTM sequence-to-sequence navigation agent · R2R val seen | Success (%): 27.1 -> 38.6 | Helped |
| Train the sequence-to-sequence agent with student-forcing instead of teacher-forcing | LSTM sequence-to-sequence navigation agent · R2R val unseen | Success (%): 19.6 -> 21.8 | Helped |
| Train the sequence-to-sequence agent with student-forcing instead of teacher-forcing | LSTM sequence-to-sequence navigation agent · R2R val unseen | Navigation error (m): 8.61 -> 7.81 | Helped |
| Train a sequence-to-sequence agent rather than use the random policy | Student-forcing agent · R2R test unseen | Success (%): 13.2 -> 20.4 | Helped |
| Train on seen environments rather than evaluate on previously unseen environments | Student-forcing agent · R2R validation | Success (%): 38.6 vs. 21.8 | Mixed |
| Use greedy agent stopping rather than oracle stopping at the closest point on the trajectory | Student-forcing agent · R2R test unseen | Success (%): 20.4 -> 26.6 | Helped |
Closest papers by meaning
- NavBench: Probing Multimodal Large Language Models for Embodied Navigation (NeurIPS 2025 · similarity 0.89)
- ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination (ICLR 2025 · similarity 0.89)
- Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions (NeurIPS 2024 · similarity 0.88)
- D3D-VLP: Dynamic 3D Vision-Language-Planning Model for Embodied Grounding and Navigation (CVPR 2026 · similarity 0.88)
- General Scene Adaptation for Vision-and-Language Navigation (ICLR 2025 · similarity 0.88)
- NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models (AAAI 2024 · similarity 0.87)
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