Hubert Szolc

AGH University of Krakow, Creative Commons

Papers

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About

Hubert Szolc is an emerging researcher specializing in autonomous systems, unmanned aerial vehicles (UAVs), and reinforcement learning-based robot control. His work sits at the intersection of artificial intelligence and robotics, with a particular focus on developing intelligent navigation and control frameworks for drones operating in complex environments. Szolc's most notable contributions include pioneering the integration of LiDAR sensing with reinforcement learning algorithms to enable robust autonomous drone navigation, as presented in his 2023 paper "LiDAR-based drone navigation with reinforcement learning," which has already garnered 3 citations since publication. Complementing this, his work on "Control of an Autonomous Unmanned Aerial Vehicle Using Reinforcement Learning" further demonstrates his commitment to advancing simulation-driven training pipelines for UAV autonomy, recognizing the critical role that realistic simulation environments play in developing reliable control policies. Though early in his research career, Szolc is contributing to a rapidly growing field where reinforcement learning is reshaping how autonomous aerial systems are designed and trained. His research addresses real-world challenges in drone control and positions him as a promising voice in the next generation of robotics and autonomous systems researchers.