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MS-MEM achieves higher mapping accuracy while minimizing scene disturbances, showcasing the power of integrating multiple manipulation skills in robotic perception.
SDPP achieves superior shelf organization and density while ensuring accessibility, outperforming traditional methods in both simulated and real-world environments.
People want blurry robot vision, but *how* blurry depends on how close the robot is and how nosy they think it's being.
What looks like polite robot navigation from above can feel downright rude when you're the pedestrian dodging it.
Robots can now navigate based on your spoken preferences and visual context, thanks to a clever fusion of VLMs, LLMs, and multi-objective RL.