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Standard quadruped feet fail catastrophically on even moderate roof inclines, demonstrating a critical gap for robotic construction in this domain.
Foundation models can transform rigid 3D scene graphs into rich, semantically aware forests that enhance robotic understanding and interaction with complex environments.
Hardware selection can make or break SLAM performance in quadrupedal robots, with stereo setups and global shutter cameras proving crucial for resilience in dynamic environments.
