Develop solutions to the industry, employing classic computer vision and DL-based algorithms.- Systems development and integration (C++/Python/Docker);- Systems simulation (ROS/Gazebo/CoppeliaSim);- Design and development of user interfaces (Qt);- Vision-based SLAM (ORBSLAM/RTABMap);- 3D Object Detection (OpenCV/PCL);- Object Detection using Lidar (Pointnet);

During my PhD in Computer Science at the Federal University of Minas Gerais (UFMG), I focused on Swarm Robotics, Artificial Intelligence, and Probabilistic Graph Models under the supervision of Prof. Luiz Chaimowicz. My thesis, "A Stochastic Framework for Multi-Emergent Swarm Robotics Behaviors," involved implementing control mechanisms for robot swarms using probabilistic modeling with ROS middleware and developing a comprehensive simulation environment for robot swarms using Gazebo. I published and presented my research at leading robotics conferences, including ICRA, IROS, RAL, and AURO, showcasing advancements in probabilistic modeling, swarm robotics, and multi-emergent behavior analysis.

Tech leader in a project to develop a system for recognizing human actions during the industrial painting activity using deep learning approaches, sponsored by Oil Company Petrobras.

During my master's studies at the Federal University of Minas Gerais (UFMG), I worked on two significant R&D projects in partnership with the Vale Institute of Technology (ITV). The first project, "Advanced Teleoperation of Excavators in the Mining Industry" (October 2017 – August 2020), involved developing a framework for excavator teleoperation using haptic technologies and visual immersion. I modeled and constructed a robotic excavator prototype using off-the-shelf parts and 3D printing, implemented haptic control for a robotic manipulator using C++, ROS, and MOVEit, developed a robotic head-like device for tele-immersion with C++, OpenCV, and ROS, and designed master/slave systems for teleoperation using Unity, WebRTC, and ROS. Concurrently, my master's research focused on designing and constructing low-cost robots for swarm robotics and educational purposes. This research involved extensive use of 3D printing for robot construction, developing MCU firmware for embedded systems, and integrating robots with ROS middleware. These projects enhanced my skills in teleoperation frameworks, haptic technology, visual immersion systems, robotic prototyping, embedded systems firmware development, and robotic system design for swarm robotics and education.

During my undergraduate studies at the Federal University of Minas Gerais (UFMG), I participated in significant research projects, with a particular emphasis on an R&D project in partnership with the Vale Institute of Technology (ITV). This project, titled "Cooperative Magnetic-Mapping Using Small UAVs" (September 2015 – August 2017), involved controlling multiple drones to generate maps that combine sensors into 3D information, for instance, RGB point clouds and magnetic maps, for enhancing ore deposit exploration. I developed expertise in Linux-embedded systems and implemented a visual interface for real-time drone control, path management, and visualization using Python and QT. Additionally, I created custom applications for data acquisition and signal processing using Android Studio, Java, and C++. Prior to this, I worked on the "Semi-Autonomous Avatar for Tele-Immersive Applications" project (August 2013 – February 2014), where I focused on the development of a semi-autonomous avatar system. Throughout these experiences, I gained proficiency in ROS (Robot Operating System), robotic systems, robot path planning and control, and various programming languages and tools.