62 citations · 69 across the 4 of their papers we have counts for
6 papers
An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic Robotic Controllers
Enrique Pinero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro +3
In this work, an all-in-one neuromorphic controller system with reduced latency and power consumption for a robotic arm is presented. Biological muscle movement consists of stretch…
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm
A. Linares-Barranco, E. Pinero-Fuentes, S. Canas-Moreno +6
Biological nervous systems typically perform the control of numerous degrees of freedom for example in animal limbs. Neuromorphic engineers study these systems by emulating them in…
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Chang Gao, Antonio Rios-Navarro, Xi Chen +2
Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for real-time applications such as IoT, robotics, and human-machin…
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
Chang Gao, Antonio Rios-Navarro, Xi Chen +2
This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called EdgeDRNN designed for portable edge computing. EdgeDRNN adopts the spiking…
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
Alejandro Linares-Barranco, Antonio Rios-Navarro, Ricardo Tapiador-Morales +1
Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural Networks (CNN) are demanding significant accuracy for…
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator
A. Rios-Navarro, R. Tapiador-Morales, A. Jimenez-Fernandez +3
Many FPGAs vendors have recently included embedded processors in their devices, like Xilinx with ARM-Cortex A cores, together with programmable logic cells. These devices are known…