Leonardo Pilarski

Polytechnic Institute of Bragança, Universidade Tecnológica Federal do Paraná

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About

Leonardo Pilarski is a researcher at the intersection of robotics education and applied artificial intelligence, with a focus on making advanced automation accessible to learners and competitors. His work centers on two key areas: developing structured, step-by-step pedagogical approaches to robot assembly, and integrating AI-based object detection into autonomous mobile robotics. Pilarski’s major contribution lies in bridging the gap between theoretical robotics concepts and hands-on implementation, as demonstrated in his most-cited paper, “Robot at Factory Lite - A Step-by-Step Educational Approach to the Robot Assembly” (2022, 4 citations), which provides a replicable framework for teaching robot construction. His follow-up work, “An AI-based Object Detection Approach for Robotic Competitions” (2023, 3 citations), introduces a practical object localization system that enables robots to perceive and interact with their environment in real-time, directly addressing the demands of competitive robotics. By combining educational methodology with cutting-edge AI vision techniques, Pilarski empowers students and hobbyists to build functional, competition-ready robots. His research not only advances the field of educational robotics but also demonstrates how AI can be democratized for hands-on learning, making him a notable contributor to the growing movement of accessible, applied automation.