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Achieving up to 96.1% coverage in complex outdoor environments, this architecture tackles the critical challenges of localization drift and obstacle navigation in autonomous robotics.
Robots can now answer your questions about their surroundings in near real-time, thanks to a new memory architecture that blends semantic graphs with retrieval-augmented methods.