An interface platform for robotic neuromorphic systems

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Russo, Nicola, Huang, Haochun, Donati, Eugenio, Madsen, Thomas ORCID: https://orcid.org/0000-0001-9354-0935 and Nikolic, Konstantin ORCID: https://orcid.org/0000-0002-6551-2977 (2023) An interface platform for robotic neuromorphic systems. Chips, 2 (1). pp. 20-30.

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Official URL: https://doi.org/10.3390/chips2010002

Abstract

Neuromorphic computing is promising to become a future standard in low-power AI applications. The integration between new neuromorphic hardware and traditional microcontrollers is an open challenge. In this paper, we present an interface board and a communication protocol that allows communication between different devices, using a microcontroller unit (Arduino Due) in the middle. Our compact printed circuit board (PCB) links different devices as a whole system and provides a power supply for the entire system using batteries as the power supply. Concretely, we have connected a Dynamic Vision Sensor (DVS128), SpiNNaker board and a servo motor, creating a platform for a neuromorphic robotic system controlled by a Spiking Neural Network, which is demonstrated on the task of intercepting incoming objects. The data rate of the implemented interface board is 24.64 k symbols/s and the latency for generating commands is about 11ms. The complete system is run only by batteries, making it very suitable for robotic applications.

Item Type:	Article
Identifier:	10.3390/chips2010002
Additional Information:	Russo, N., Huang, H., Donati, E., Madsen, T., Nikolic, K., 2023. An Interface Platform for Robotic Neuromorphic Systems. Chips 2, 20–30. https://doi.org/10.3390/chips2010002
Keywords:	spiking neural network; neuromorphic computing; SpiNNaker; neuromorphic interface board
Subjects:	Computing
Related URLs:	Publisher Publisher
Depositing User:	Konstantin Nikolic
Date Deposited:	24 Feb 2023 11:04
Last Modified:	04 Nov 2024 11:19
URI:	https://repository.uwl.ac.uk/id/eprint/9811