Artificial cerebellum enables human-like object handling by robots: To solve this, University of Granada researchers have implemented a biologically inspired adaptive microcircuit based on a new cerebellar spiking model that adapts to corrections and stores sensory effects.
It also records motor commands to predict the action or movement to be performed by the robotic arm.
The biologically inspired architectures used in this model combine the error training approach with predictive adaptive control. The robot performs automatic learning and two control systems enable accurate and robust control of the robotic arm during object handling.
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