MOSU improves outdoor robot traversability by about 10% over prior state-of-the-art on the GND benchmark by fusing geometric, semantic, and vision-language-model scores for candidate trajectories.
IEEE Robotics and Automation Letters 7(2) (2022) 3365–3371
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MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding
MOSU improves outdoor robot traversability by about 10% over prior state-of-the-art on the GND benchmark by fusing geometric, semantic, and vision-language-model scores for candidate trajectories.