Researchers in the Department of Computer Architecture and Technology, University of Granada, and in the Department of Computer Architecture and Electronics, University of Almería, have developed a biologically-inspired adaptive microcircuit which functions as an artificial cerebellum, controlling a robotic arm with human-like precision.

To date, although robot designers have achieved very precise movements, such movements are performed at very high speed, require strong forces and are power consuming. This approach cannot be applied to robots that interact with humans, as a malfunction might be potentially dangerous. To solve this challenge, University of Granada researchers have implemented a new cerebellar spiking model that adapts to corrections and stores their sensorial effects; in addition, it records motor commands to predict the action or movement to be performed by the robotic arm. This cerebellar model allows the user to articulate a state-of-the-art robotic arm with extraordinary mobility.