Researchers led by Haokun Liu published on July 2, 2026 the CoFL-S framework, a low-level vision-language-action approach for language-conditioned navigation.
CoFL-S predicts language-conditioned flow fields over the robot's local visible sector and generates continuous trajectories, addressing an underexplored aspect of Vision-Language Navigation.
The method converts VLN-CE episodes into frame-level supervision with aligned sub-instructions and flow-field targets, evaluated on a new continuous-time Habitat benchmark enabling decomposition-independent closed-loop comparison.