MRS drone: A modular platform for real-world deployment of aerial multi-robot systems

D Hert, T Baca, P Petracek, V Kratky, R Penicka… - Journal of Intelligent & …, 2023 - Springer
This paper presents a modular autonomous Unmanned Aerial Vehicle (UAV) platform called
the Multi-robot System (MRS) Drone that can be used in a large range of indoor and outdoor …

Communications-aware robotics: Challenges and opportunities

DB Licea, G Silano, M Ghogho… - … on Unmanned Aircraft …, 2023 - ieeexplore.ieee.org
The use of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) has
seen significant growth in the research community, industry, and society. Many of these …

Unifying f1tenth autonomous racing: Survey, methods and benchmarks

BD Evans, R Trumpp, M Caccamo, F Jahncke… - arXiv preprint arXiv …, 2024 - arxiv.org
The F1TENTH autonomous driving platform, consisting of 1: 10-scale remote-controlled
cars, has evolved into a well-established education and research platform. The many …

A survey of vehicle dynamics modeling methods for autonomous racing: Theoretical models, physical/virtual platforms, and perspectives

T Zhang, Y Sun, Y Wang, B Li, Y Tian… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents the first survey of vehicle dynamics modeling methods for autonomous
racing. Previous surveys have covered dynamics models for standard autonomous vehicles …

[HTML][HTML] Safe reinforcement learning for high-speed autonomous racing

BD Evans, HW Jordaan, HA Engelbrecht - Cognitive Robotics, 2023 - Elsevier
The conventional application of deep reinforcement learning (DRL) to autonomous racing
requires the agent to crash during training, thus limiting training to simulation environments …

Cone slalom with automated sports car–trajectory planning algorithm

Z Hanzálek, J Záhora, M Sojka - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we present the system architecture and algorithms of an automated vehicle to
perform a slalom. We demonstrate a novel trajectory planning algorithm based on …

[HTML][HTML] Planning speed mode of all-wheel drive autonomous vehicles considering complete constraint set

M Diachuk, SM Easa - Vehicles, 2024 - mdpi.com
The study aims to improve the technique of motion planning for all-wheel drive (AWD)
autonomous vehicles (AVs) by including torque vectoring (TV) models and extended …

Accelerating deep reinforcement learning for autonomous racing

B Evans - 2023 - scholar.sun.ac.za
The F1/10th racing problem is to use the onboard LiDAR scan to calculate speed and
steering references to move a 1/10th scale car around the track as quickly as possible. While …

High-performance Racing on Unmapped Tracks using Local Maps

BD Evans, HW Jordaan, HA Engelbrecht - arXiv preprint arXiv:2401.17732, 2024 - arxiv.org
Map-based methods for autonomous racing estimate the vehicle's location, which is used to
follow a high-level plan. While map-based optimisation methods demonstrate high …

Reactive control algorithm for f1tenth autonomous vehicles in unknown dynamic environments

A Morys-Magiera, A Lis, J Pudlo, A Papierok… - Proceedings of the XXI …, 2023 - Springer
Autonomous control of scaled racing cars is an increasingly popular approach for testing
and presenting new control algorithms while also reducing the operational costs required to …