Lucas Eckert

Universidade Tecnológica Federal do Paraná, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier

Papers

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About

Lucas Eckert’s research lies at the intersection of mobile robotics, path planning, and simulation environments, with a strong emphasis on real-time decision-making and hardware integration. His most impactful work focuses on optimizing the A* search algorithm for path planning in dynamic, unknown environments, enabling mobile robots to navigate around moving obstacles under stringent time constraints—a contribution that has earned 15 citations. Eckert is also a leading figure in the Micromouse competition community, where he developed a 3D simulator with hardware-in-the-loop capability (13 citations), allowing researchers and enthusiasts to test algorithms in realistic, competitive scenarios before deploying them on physical robots. This simulator, built on the SimTwo platform, has become a valuable tool for evaluating maze-solving strategies. Earlier in his career, Eckert addressed medical robotics, designing a path planning algorithm for anthropomorphic robots in minimally invasive surgery, ensuring precise motion through a fixed penetration point. His work bridges theoretical optimization with practical, competition-driven applications, making him a notable contributor to both educational robotics and surgical automation.