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Live Demonstration: Neuromorphic Robotics, from Audio to Locomotion Through Spiking CPG on SpiNNaker

Daniel Gutiérrez-Galán, Juan P. Dominguez‐Morales, Fernando Perez‐Peña, Ángel Jiménez-Fernández, Alejandro Linares-Barranco

Year
2019
Citations
4

Abstract

This live demonstration presents an audio-guided neuromorphic robot: from a Neuromorphic Auditory Sensor (NAS) to locomotion using Spiking Central Pattern Generators (sCPGs). Several gaits are generated by sCPGs implemented on a SpiNNaker board. The output of these sCPGs is sent in a real-time manner to an Field Programmable Gate Array (FPGA) board using an AER-to-SpiNN interface. The control of the hexapod robot joints is performed by the FPGA board. The robot behavior can be changed in real-time by means of the NAS. The audio information is sent to the SpiNNaker board which classifies it using a Spiking Neural Network (SNN). Thus, the input sound will activate a specific gait pattern which will eventually modify the behavior of the robot.

Keywords

Neuromorphic engineeringHexapodSpiking neural networkComputer scienceRobotField-programmable gate arrayRoboticsCentral pattern generatorInterface (matter)Artificial intelligence

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