Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories
Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories explores A framework for robots to learn symbolic task structures from demonstrations, enabling efficient long-horizon manipulation with interpretable planning.. Commercial viability score: 7/10 in Robotics.
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