Synthetic navigation corpus for fine-tuning small vision-language models to
plan local waypoint paths for a 0.3 m tracked ground robot in corridor/maze
environments, plus the frozen evaluation suite used in our internal reports.
Each sample is one first-person RGB frame (640×480) from the robot's camera
in a procedurally generated MuJoCo scene, an instruction carrying the goal
(bearing/range) and a… See the full description on the dataset page:
https://huggingface.co/datasets/ubr-physical-ai/ubr-maze-nav.
