Piotr Biernacki

Polish-Japanese Academy of Information Technology, Silesian University of Technology

Papers

Total Citations

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About

Piotr Biernacki is a researcher at the forefront of autonomous systems and swarm robotics, with a focus on enhancing the efficiency and reliability of unmanned aerial vehicles (UAVs) and automated guided vehicles (AGVs). His work bridges simulation and real-world application, addressing critical challenges in control algorithms and sensor accuracy. Biernacki’s most cited paper, "Swarm of Drones in a Simulation Environment—Efficiency and Adaptation" (2024, 14 citations), explores software-in-the-loop (SITL) simulations for drone swarms, providing a robust framework for testing and validating swarm control algorithms—a vital contribution to the field’s scalability and safety. In "The forecast of the AGV battery discharging via the machine learning methods" (2022, 9 citations), he pioneers machine learning approaches to predict AGV battery life, optimizing industrial logistics through data-driven energy management. Additionally, his "Adaptive Calibration Method for Single-Beam Distance Sensors" (2021, 6 citations) enhances sensor precision for autonomous navigation. Biernacki’s work, grounded in practical experimentation with industry partners like AIUT, demonstrates a clear impact on both simulation methodologies and real-world automation, making him a notable figure in advancing autonomous system intelligence.