MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats

S Yuan, Y Yang, TH Nguyen, TM Nguyen… - arXiv preprint arXiv …, 2024 - arxiv.org
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs),
which possess the potential to transport harmful payloads or independently cause damage …

Design of a distributed switching model predictive control for quadrotor UAVs aggregation

CPEY Huanca, GP Incremona… - IEEE Control Systems …, 2023 - ieeexplore.ieee.org
This letter proposes a novel distributed model predictive control (MPC) strategy to address
the swarm aggregation of a team of quadrotor unmanned aerial vehicles (UAVs). First, a …

Anticollision Decision and Control of UAV Swarm Based on Intelligent Cognitive Game

H Zhou, Y Li, T Han - Computational Intelligence and …, 2022 - Wiley Online Library
UAV swarm anticollision system is very important to improve the flight safety of the whole
swarm formation, while the existing system design methods are still insufficient in realizing …

[HTML][HTML] AV-FDTI: Audio-visual fusion for drone threat identification

Y Yang, S Yuan, J Yang, TH Nguyen, M Cao… - Journal of Automation …, 2024 - Elsevier
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs),
which have the potential to transport harmful payloads or cause significant damage, we …

An MPC-based Optimal Motion Control Framework for Pendulum-driven Spherical Robots

T Hu, X Guan, Y Wang, Y Liu, B Zhang, B Lin… - arXiv preprint arXiv …, 2023 - arxiv.org
Motion control is essential for all autonomous mobile robots, and even more so for spherical
robots. Due to the uniqueness of the spherical robot, its motion control must not only ensure …

Dynamic Obstacles Avoiding Method of Formation Tracking Control for Amphibious Spherical Robots

M Liu, S Guo, H Yin, A Li, M Zhou - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The collision-free formation trajectory tracking method is established for multiple amphibious
spherical robots (multi-ASRs) in this paper. This approach combine the Velocity Obstacle …

Aggressive Trajectory Tracking for Nano Quadrotors Using Embedded Nonlinear Model Predictive Control

M Kazim, H Sim, G Shin, H Hwang, KKK Kim - International Conference on …, 2023 - Springer
This paper presents an aggressive trajectory tracking method for a small lightweight nano-
quadrotor using nonlinear model predictive control (NMPC) based on acados. Controlling a …

Bearing-only Formation Control of multiple UAVs with an NMPC approach: architectures and methodologies

F CIRESOLA - thesis.unipd.it
One of the major fields of development and innovation in our century concerns mobile
robotics, particularly the study of multi-agent system coordination. This type of technol-ogy …

Sterowanie predykcyjne oparte na modelu dla problemu sterowania rojem robotów

W Domski, P Bogdoł - Prace Naukowe Politechniki Warszawskiej …, 2022 - yadda.icm.edu.pl
W artykule przedstawiono problem sterowania rojem robotów przy wykorzystaniu metody
sterowania predykcyjnego opartej na modelu. Celem pojedynczych robotów było …