An interface platform for robotic neuromorphic systems

Russo, Nicola, Huang, Haochun, Donati, Eugenio, Madsen, Thomas ORCID: and Nikolic, Konstantin ORCID: (2023) An interface platform for robotic neuromorphic systems. Chips, 2 (1). pp. 20-30.

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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.
Keywords: spiking neural network; neuromorphic computing; SpiNNaker; neuromorphic interface board
Subjects: Computing
Related URLs:
Depositing User: Konstantin Nikolic
Date Deposited: 24 Feb 2023 11:04
Last Modified: 06 Feb 2024 16:14


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