Article ; Online: An Interface Platform for Robotic Neuromorphic Systems
Chips, Vol 2, Iss 2, Pp 20-
2023 Volume 30
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 ... ...
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. |
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Keywords | spiking neural network ; neuromorphic computing ; SpiNNaker ; neuromorphic interface board ; Electronic computers. Computer science ; QA75.5-76.95 ; Electric apparatus and materials. Electric circuits. Electric networks ; TK452-454.4 |
Subject code | 629 |
Language | English |
Publishing date | 2023-02-01T00:00:00Z |
Publisher | MDPI AG |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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