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Helder Araújo

3 accepted papers

2023

Benchmarking Convolutional Neural Network Inference on Low-Power Edge Devices

ICASSP 2023accepted

The massive adoption of IoT devices, the recent developments in the efficiency of AI systems, and the increase of edge computational power, accelerated the deployment of edge AI systems. The implementation of these systems through the use of low-power embedded devices scattered across the edges of a…

Cited by 0SourceScholar
2019

Learning to Navigate Endoscopic Capsule Robots

RA-L 2019

Deep reinforcement learning (DRL) techniques have been successful in several domains, such as physical simulations, computer games, and simulated robotic tasks, yet the transfer of these successful learning concepts from simulations into the real world scenarios remains still a challenge. In this le

Cited by 28SourceScholar