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Prior-SG enables robots to redefine their spatial understanding in real-time, achieving zero-shot flexibility in semantic region segmentation even in the absence of physical boundaries.
Ditch robot-specific terrain labels: Trinity learns generalizable terrain understanding from visual appearance alone, unlocking transferability across diverse robotic platforms.
