Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman and Grant Bruer

July, 2020

IJCNN: The International Joint Conference on Neural Networks

https://www.ijcnn.org/

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Abstract

In this work we describe the design, implementation, and testing of the first neuromorphic robot capable of obstacle avoidance, grid coverage, and targeting controlled by the second generation Dynamic Adaptive Neural Network Array (DANNA2) digital spiking neuromorphic processor. The simplicity of the DANNA2 processor along with the TENNLab hardware/software co-design framework allows for compact spiking networks that can run efficiently on a small, resource-constrained, platform such as a Xilinx Artix-7 field-programmable gate array. Additionally, we present the dynamic reconfigurability of DANNA2 arrays as a method of realizing complex, multi-objective tasks on hardware that is restricted to relatively small networks.

Citation Information

Text

author    J. D. Ambrose and A. Z. Foshie and M. E. Dean and J. S. Plank 
          and G. S. Rose and J. P. Mitchell and C. D. Schuman and G. Bruer
title     GRANT: Ground Roaming Autonomous Neuromorphic Targeter
booktitle IJCNN: The International Joint Conference on Neural Networks
month     July
year      2020

Bibtex

@INPROCEEDINGS{afd:20:ggr,
    author = "J. D. Ambrose and A. Z. Foshie and M. E. Dean and J. S. Plank 
              and G. S. Rose and J. P. Mitchell and C. D. Schuman and G. Bruer",
    title = "{GRANT}: Ground Roaming Autonomous Neuromorphic Targeter",
    booktitle = "IJCNN: The International Joint Conference on Neural Networks",
    month = "July",
    year = "2020"
}