Jan Michalczyk

Papers

Total Citations

H-Index

About

Jan Michalczyk is a robotics researcher specializing in autonomous navigation and state estimation for Unmanned Aerial Vehicles (UAVs), with a particular focus on radar-inertial odometry (RIO) in GNSS-denied and perceptually challenging environments. His most influential contribution, "Tightly-Coupled EKF-Based Radar-Inertial Odometry" (2022), has garnered 49 citations and introduced a robust framework for estimating UAV pose and velocity using radar and inertial sensors fused through an Extended Kalman Filter — a critical advancement for operating in degraded conditions such as smoke, fog, or darkness where traditional vision-based systems fail. Building on this foundation, his 2023 work on multi-state tightly-coupled RIO with persistent landmarks (23 citations) further enhanced accuracy by incorporating techniques borrowed from the vision community, adapted for sparse and noisy radar signals to achieve full six-degree-of-freedom pose estimation. His third notable contribution demonstrates the practical deployability of RIO on resource-constrained embedded hardware for real-time closed-loop UAV control, bridging the gap between algorithmic research and real-world implementation. Collectively, Michalczyk's work represents a meaningful step toward reliable autonomous aerial robotics in the most demanding environments.