Iure OliveiraFederal University of Viçosa | UFV · Centro de Ciencias Exatas e Tecnologicas – CCE
Iure Oliveira
Bachelor of Engineering
Development of a framework for autonomous vehicle navigation using Reinforcement Learning techniques.
About
7
Publications
384
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24
Citations
Introduction
Tends to engage his team's effort through a proactive leadership in projects. Strives for pragmatic, agile and scalable solutions by means of well-documented code and concise modeling. Mostly interested in Robotics, Artificial Intelligence, Computer Vision, Data Science, DevOps, 4.0 Industry as well as Industry Internet of Things applications and Robotic Process Automation.
Skills and Expertise
Education
March 2017 - January 2023
Publications
Publications (7)
Robotics navigation holds significant importance in the transportation, manufacturing, and exploration sectors. The prioritization of path planning is essential for efficient navigation in environments where multiple robots coexist. In the realm of logistic libraries, characterized by repetitive tasks with a need to mitigate human errors, this stud...
Multi-robot systems can provide substantial increase in efficiency and/or flexibility in different scenarios. Applications in various settings have been studied in the literature, such as disaster management, surveillance, object transportation as well as search-and-rescue. A particular case that can highly benefit from the employment of multiple a...
DRL has emerged as a promising approach for mobile robot navigation in unknown environments without a prior map. However, the performance of DRL methods for this task varies greatly, depending on the choice of algorithm, state representation, and training procedure. In this paper we explore various cutting-edge DRL algorithms, such as policy-, valu...
Unmanned Aerial Vehicles (UAVs) are widely used in various applications, from inspection and surveillance to transportation and delivery. Navigating UAVs in complex 3D environments is a challenging task that requires robust and efficient decision-making algorithms. This paper presents a novel approach to UAV navigation in 3D environments using a Cu...
Autonomous navigation robotics is a field of great importance due to its wide range of applications, such as exploration, transportation, industry or defense. When it comes to these scenarios, unmanned aerial vehicles (UAVs) can enable different approaches that can increase the efficiency and/or flexibility of the task. In this paper, we propose of...
O reconhecimento automático de gestos humanoscse mostra hoje como uma importante e desafiadora tarefa. Um exemplo de possível aplicação está na interpretação de linguagens de sinais. Outras aplicações incluem as novas possibilidades de interação de humanos com computadores e robôs. Tal problema vem sendo muito estudado ultimamente, porém ainda apre...
Path planning is a crucial part of autonomous navigation when regarding autonomous aerial vehicles, often demanding different priorities such as the length, safety or energy consumption. Dynamic programming and geometric methods have been applied to solve this problem, but in recent years, more work has been developed using artificial intelligence...
