Gianluca Capezzuto Sardinha is an Electrical Engineering undergraduate student with a specialization in Electronics at the School of Engineering of São Carlos (EESC/USP), expected to graduate in 2025. Concurrently, he will complete in 2025 the Certificate of Special Studies in Computer Science at the Institute of Mathematical and Computer Sciences (ICMC/USP). From 2022 to 2024, he held a FAPESP Undergraduate Research Fellowship, developing deep learning projects for autonomous navigation of ground robots. In 2024, he served as a visiting researcher at the University of Illinois at UrbanaChampaign, also supported by FAPESP. (Source: Lattes Curriculum)
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Autonomous robot navigation is typically considered a geometric problem, in which the robot must identify the geometry of the environment to plan a collision-free trajectory. However, a purely geometric view of the environment may be insufficient for many problems in robotic navigation. For example, geometry-based navigation methods may cause a robot to avoid an area blocked by plant leav…
Robots are essential in performing demanding tasks in outdoor settings like agriculture, construction, and remote exploration. However, their ability to navigate challenging terrains, known as traversability, poses a significant challenge. Traditional methods often produce false positives, particularly in scenarios involving tall grass, muddy areas, and snowy surfaces. Addressing these ch…
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