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OWLS: Open-world language-conditioned speed fields for zero-shot rover navigation

The authors propose OWLS (Open-world Language-conditioned Speed Fields), which plans directly over the dense feature maps of a vision-language model (VLM): given a description of traversable terrain, the VLM scores every pixel of a single camera image, and OWLS projects these scores onto the ground, adapts them to the platform with two morphological operations, and uses them as the speed field of a minimum-time planner, so that terrain appearance and obstacle spacing jointly shape a single trajectory.

Part of the event: OWLS: Zero-Shot Rover Navigation with VLM Feature Maps

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