A spiking neural network with a liquid state machine and delta encoding predicts 7-DOF robotic arm torques, reportedly reducing error by at least 60 percent, and includes an autoregressive input of the previous torque.
In: IOP Confer- ence Series: Materials Science and Engineering
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Embodied Neuromorphic Control Applied on a 7-DOF Robotic Manipulator
A spiking neural network with a liquid state machine and delta encoding predicts 7-DOF robotic arm torques, reportedly reducing error by at least 60 percent, and includes an autoregressive input of the previous torque.