Language-Conditioned World Modeling for Visual Navigation
📰 ArXiv cs.AI
Language-conditioned visual navigation enables an agent to follow natural language instructions based on initial egocentric observations
Action Steps
- Formulate language-conditioned visual navigation as open-loop trajectory prediction
- Condition trajectory prediction on linguistic instructions
- Use initial egocentric observations to shape the agent's perception and control
Who Needs to Know This
AI engineers and researchers working on embodied agents and visual navigation tasks can benefit from this study, as it tackles the grounding problem in language-conditioned world modeling
Key Insight
💡 Language-conditioned visual navigation relies on linguistic instructions to guide an agent's perception and control
Share This
🤖 Agents can navigate using natural language instructions! 💡
Key Takeaways
Language-conditioned visual navigation enables an agent to follow natural language instructions based on initial egocentric observations
Full Article
Title: Language-Conditioned World Modeling for Visual Navigation
Abstract:
arXiv:2603.26741v1 Announce Type: cross Abstract: We study language-conditioned visual navigation (LCVN), in which an embodied agent is asked to follow a natural language instruction based only on an initial egocentric observation. Without access to goal images, the agent must rely on language to shape its perception and continuous control, making the grounding problem particularly challenging. We formulate this problem as open-loop trajectory prediction conditioned on linguistic instructions an
Abstract:
arXiv:2603.26741v1 Announce Type: cross Abstract: We study language-conditioned visual navigation (LCVN), in which an embodied agent is asked to follow a natural language instruction based only on an initial egocentric observation. Without access to goal images, the agent must rely on language to shape its perception and continuous control, making the grounding problem particularly challenging. We formulate this problem as open-loop trajectory prediction conditioned on linguistic instructions an
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