activity
20202026
most citedThe MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

153 citations · 1.2k across the 106 of their papers we have counts for

collaborators

109 papers

cs.RO2026

NMPP: Nonlinear Model Predictive Planning for Agile UAV Flight in Cluttered Environments

Ondřej Procházka, Juraj Pauko, Robert Pěnička +1

Flying a quadrotor through a cluttered environment requires not only planning a collision-free reference trajectory based on perceived obstacles, but the reference also needs to be…

cs.RO2026

Towards Agile Vision-Based Multi-UAV Flight: Revisiting State Estimation

Michal Pliska, Matouš Vrba, Ondřej Víta +3

Agile multi-UAV flight requires accurate and low-latency onboard estimation of the kinematic states of neighboring UAVs for collision avoidance, motion coordination, etc. Most visi…

cs.RO2026

L1-MPPI: L1 Adaptive Model Predictive Path Integral for Agile UAV Control

Lukáš Kotek, Ondřej Procházka, Vojtěch Vonásek +2

This work proposes the L1 Adaptive Model Predictive Path Integral (L1-MPPI). It cascades L1 adaptive control with the Model Predictive Path Integral (MPPI) to improve tracking of h…

cs.RO2026

Tilt as a Certified Resource: Preserving Motor Wrench-Rate Authority on Articulated Multirotors

Giuseppe Silano, Martin Saska

Fully-actuated multirotor aerial vehicles must not only track nominal wrenches but retain the "readiness" to modulate them rapidly under disturbances. Classical effort-minimizing a…

cs.RO2026

FF-MPCC: High-speed Agile Formation Flight with Model Predictive Contouring Control

Aditya Dandwate, Vit Kratky, Parakh M. Gupta +2

Flying in a prescribed formation in an agile manner remains a challenging problem in the field of UAVs, particularly when following highly-demanding trajectories that require fligh…

cs.RO2026

BC-NMPC: Battery-Constrained NMPC with Propulsion Prediction and Replanning for High-Speed Flight

Parakh M. Gupta, Matej Mihulka, Matej Novosad +2

Trajectory tracking performance of Uncrewed Aerial Vehicles (UAVs) degrades during an agile high-speed flight due to the depletion of the battery and subsequent loss of maximum ava…

cs.RO2026

Dynamical Vehicle Orienteering Problem for Multi-Rotor Unmanned Aerial Vehicles

František Nekovář, Matej Novosad, Martin Saska +1

This paper introduces the Dynamical Vehicle Orienteering Problem (DVOP), a generalization of the Orienteering Problem (OP). The OP maximizes the reward collected from spatial targe…

cs.RO2026

Spacecraft Fiducial Marker for Autonomous Rendezvous, Proximity Operations, and Docking

Ravi Kumar Thakur, Matouš Vrba, Martin Saska

Robotic operations in space are challenging due to the harsh environment and the high cost of failure. Fiducial markers provide visual references that aid autonomous rendezvous, pr…

cs.RO2026

Motor Angular Speed Preintegration for Multirotor UAV State Estimation

Matěj Petrlík, Filip Novák, Robert Pěnička +1

A precise state estimate is crucial for a tight feedback control that enables agile and near-obstacle flights of UAVs. The state-of-the-art methods fuse slow pose measurements with…

cs.RO2026

Sensitivity-Based Robust NMPC for Close-Proximity Offshore Wind Turbine Inspection with a Tilted Multirotor

Giuseppe Silano, Martin Saska

Close-proximity offshore wind turbine inspection requires strict clearance control around large cylindrical structures under wind and model mismatch. Nominal Nonlinear Model Predic…

cs.RO2026

Relative State Estimation using Event-Based Propeller Sensing

Ravi Kumar Thakur, Luis Granados Segura, Jan Klivan +4

Autonomous swarms of multi-Unmanned Aerial Vehicle (UAV) system requires an accurate and fast relative state estimation. Although monocular frame-based camera methods perform well…

cs.RO2026

Orientation Matters: Learning Radiation Patterns of Multi-Rotor UAVs In-Flight to Enhance Communication Availability Modeling

Martin Zoula, Daniel Bonilla Licea, Jan Faigl +2

The paper presents an approach for learning antenna Radiation Patterns (RPs) of a pair of heterogeneous quadrotor Uncrewed Aerial Vehicles (UAVs) by calibration flight data. RPs ar…

cs.RO2026

Perception-Aware Communication-Free Multi-UAV Coordination in the Wild

Manuel Boldrer, Michal Kamler, Afzal Ahmad +1

We present a communication-free method for safe multi-robot coordination in complex environments such as forests with dense canopy cover, where GNSS is unavailable. Our approach re…

cs.RO2026

Communications-Aware NMPC for Multi-Rotor Aerial Relay Networks Under Jamming Interference

Giuseppe Silano, Daniel Bonilla Licea, Davide Liuzza +2

Multi-Rotor Aerial Vehicles (MRAVs) are increasingly used in communication-dependent missions where connectivity loss directly compromises task execution. Existing anti-jamming str…

cs.RO2026

Autonomous Inspection of Power Line Insulators with UAV on an Unmapped Transmission Tower

Václav Riss, Vít Krátký, Robert Pěnička +1

This paper introduces an online inspection algorithm that enables an autonomous UAV to fly around a transmission tower and obtain detailed inspection images without a prior map of…

cs.RO2026

Position-Based Flocking for Persistent Alignment without Velocity Sensing

Hossein B. Jond, Veli Bakırcıoğlu, Logan E. Beaver +3

Coordinated collective motion in bird flocks and fish schools inspires algorithms for cohesive swarm robotics. This paper presents a position-based flocking model that achieves per…

cs.RO2026

FDA Flocking: Future Direction-Aware Flocking via Velocity Prediction

Hossein B. Jond, Martin Saska

Understanding self-organization in natural collectives such as bird flocks inspires swarm robotics, yet most flocking models remain reactive, overlooking anticipatory cues that enh…

cs.RO2026

Vision-only UAV State Estimation for Fast Flights Without External Localization Systems: A2RL Drone Racing Finalist Approach

Filip Novák, Matěj Petrlík, Matej Novosad +3

Fast flights with aggressive maneuvers in cluttered GNSS-denied environments require fast, reliable, and accurate UAV state estimation. In this paper, we present an approach for on…

cs.RO2025

RVC-NMPC: Nonlinear Model Predictive Control with Reciprocal Velocity Constraints for Mutual Collision Avoidance in Agile UAV Flight

Vit Kratky, Robert Penicka, Parakh M. Gupta +2

This paper presents an approach to mutual collision avoidance based on Nonlinear Model Predictive Control (NMPC) with time-dependent Reciprocal Velocity Constraints (RVCs). Unlike…

cs.RO2025

MonoSpheres: Large-Scale Monocular SLAM-Based UAV Exploration through Perception-Coupled Mapping and Planning

Tomáš Musil, Matěj Petrlík, Martin Saska

Autonomous exploration of unknown environments is a key capability for mobile robots, but it is largely unsolved for robots equipped with only a single monocular camera and no dens…

cs.RO2025

Reflection-Based Relative Localization for Cooperative UAV Teams Using Active Markers

Tim Lakemann, Daniel Bonilla Licea, Viktor Walter +1

Reflections of active markers in the environment are a common source of ambiguity in onboard visual relative localization. This work presents a novel approach that exploits these t…

cs.RO2025

RADRON: Cooperative Localization of Ionizing Radiation Sources by MAVs with Compton Cameras

Petr Stibinger, Tomas Baca, Daniela Doubravova +5

We present a novel approach to localizing radioactive material by cooperating Micro Aerial Vehicles (MAVs). Our approach utilizes a state-of-the-art single-detector Compton camera…

cs.RO2025

FIMD: Fast Isolated Marker Detection for UV-Based Visual Relative Localisation in Agile UAV Swarms

Vojtěch Vrba, Viktor Walter, Petr Štěpán +1

A novel approach for the fast onboard detection of isolated markers for visual relative localisation of multiple teammates in agile UAV swarms is introduced in this paper. As the d…

cs.RO2025

Simultaneous learning of state-to-state minimum-time planning and control

Swati Dantu, Robert Pěnička, Martin Saska

This paper tackles the challenge of learning a generalizable minimum-time flight policy for UAVs, capable of navigating between arbitrary start and goal states while balancing agil…