GRANT: Ground-Roaming Autonomous Neuromorphic Targeter
| Autor: | Grant Bruer, James S. Plank, Mark Edward Dean, Adam Z. Foshie, Garrett S. Rose, Catherine D. Schuman, J. Parker Mitchell, Jonathan D. Ambrose |
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| Rok vydání: | 2020 |
| Předmět: |
Artificial neural network
business.industry Computer science Reconfigurability 02 engineering and technology 020202 computer hardware & architecture 03 medical and health sciences 0302 clinical medicine Neuromorphic engineering Gate array Obstacle avoidance 0202 electrical engineering electronic engineering information engineering Roaming Field-programmable gate array business 030217 neurology & neurosurgery Computer hardware |
| Zdroj: | IJCNN |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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