ViLiNT improves goal-conditioned navigation success rates by 166% on average over vision-only baselines across simulations and real rover tests by combining multimodal sensing with embodiment-conditioned diffusion trajectories and clearance scoring.
V-STRONG: Visual self-supervised traversability learning for off-road navigation,
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Multimodal embodiment-aware navigation transformer
ViLiNT improves goal-conditioned navigation success rates by 166% on average over vision-only baselines across simulations and real rover tests by combining multimodal sensing with embodiment-conditioned diffusion trajectories and clearance scoring.