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Robots can now wipe surfaces more effectively using deformable objects, thanks to a new RL approach that simplifies state representation and efficiently processes contact feedback in simulation.
By actively exploring knowledge graphs with a differentiable neural-symbolic approach, NeuroSymActive achieves strong KGQA accuracy while drastically reducing the computational cost of graph lookups.
