Trajectory-grounded instruction translation for frozen aerial VLN agents improves instruction understanding by converting commands into paired, intent-centered Weak commands
Read the original at arxiv.org→arXiv:2610.10635v1 Announce Type: new Abstract: Aerial vision-and-language navigation (VLN) agents are typically trained on detail-rich, trajectory-aligned commands, whereas users issue short, intent-driven...
Original headline: "Speaking the Navigator's Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN Agents"
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- Oct 10, 04:00 UTC arXiv cs.AI lead source Speaking the Navigator's Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN Agents