Marcin Paszkuta

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

Papers

Total Citations

H-Index

About

Marcin Paszkuta’s research sits at the intersection of autonomous systems, swarm robotics, and human-machine interfaces, with a strong focus on real-world applications in safety-critical environments. His most cited work, “Swarm of Drones in a Simulation Environment—Efficiency and Adaptation” (2024, 14 citations), advances the field by demonstrating how software-in-the-loop simulations can rigorously test and validate drone swarm control algorithms—a crucial step toward deploying reliable multi-agent systems. Paszkuta also tackles fundamental challenges in autonomous navigation, including collision avoidance for self-driving cars using optical flow (2018, 8 citations) and ground plane estimation for fixed-wing UAV landings (2021, 3 citations). Beyond aerial systems, he contributed to rescue robotics through an immersive human-machine interface for the Telerescuer robot (2017, 4 citations), enabling operators to control inspection missions in hazardous subterranean coal mine environments after catastrophic events. This body of work reflects a consistent drive to bridge simulation and reality, making autonomous systems safer and more practical. With citations spanning simulation methodology, perception algorithms, and interface design, Paszkuta’s research offers valuable insights for students and engineers working on the next generation of autonomous vehicles and robotic swarms.