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Learning inverse kinematics using neural computational primitives on neuromorphic hardware - npj Robotics
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Current low-latency neuromorphic processing systems hold great potential for developing autonomous artificial agents. However, the variable nature and low precision of the underlying hardware substrate pose severe challenges for robust and reliable performance.
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