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A single generalist model outperforms specialized systems, achieving over 35% improvement in real-world robotic task success.
Achieving zero-shot generalization in robotic grasping across diverse gripper designs could revolutionize how robots interact with their environments.
RoboLab exposes critical performance gaps in leading robotic models, revealing that high-fidelity simulations can better assess generalization than traditional benchmarks.
