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Matej Novosad

3 accepted papers

2025

LoL-NMPC: Low-Level Dynamics Integration in Nonlinear Model Predictive Control for Unmanned Aerial Vehicles

IROS 2025

In this paper, we address the problem of tracking high-speed agile trajectories for Unmanned Aerial Vehicles (UAVs), where model inaccuracies can lead to large tracking errors. Existing Nonlinear Model Predictive Controller (NMPC) methods typically neglect the dynamics of the low-level flight contro

Cited by 2SourceScholar
2024

Real-Time Planning of Minimum-Time Trajectories for Agile UAV Flight

RA-L 2024

We address the challenge of real-time planning of minimum-time trajectories over multiple waypoints, onboard multirotor UAVs. Previous works demonstrated that achieving a truly time-optimal trajectory is computationally too demanding to enable frequent replanning during agile flight, especially on l

Cited by 14SourceScholar
2023

CTopPRM: Clustering Topological PRM for Planning Multiple Distinct Paths in 3D Environments

RA-L 2023

In this letter, we propose a new method called Clustering Topological PRM (CTopPRM) for finding multiple topologically distinct paths in 3D cluttered environments. Finding such distinct paths, e.g., going around an obstacle from a different side, is useful in many applications. Among others, it is n

Cited by 20SourcecodeScholar