Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

SA Bagloee, M Tavana, M Asadi, T Oliver - Journal of modern …, 2016 - Springer
This study investigates the challenges and opportunities pertaining to transportation policies
that may arise as a result of emerging autonomous vehicle (AV) technologies. AV …

A survey on quadrotors: Configurations, modeling and identification, control, collision avoidance, fault diagnosis and tolerant control

H Shraim, A Awada, R Youness - IEEE Aerospace and …, 2018 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) offer a wide range of interesting military and commercial
applications at reduced costs. A couple of their more interesting characteristics include: They …

[图书][B] Autonomous vehicle technology: A guide for policymakers

JM Anderson, K Nidhi, KD Stanley, P Sorensen… - 2014 - books.google.com
The automotive industry appears close to substantial change engendered by “self-driving”
technologies. This technology offers the possibility of significant benefits to social welfare …

BCF swimming locomotion for autonomous underwater robots: a review and a novel solution to improve control and efficiency

D Scaradozzi, G Palmieri, D Costa, A Pinelli - Ocean Engineering, 2017 - Elsevier
The development of autonomous, energy efficient, underwater robots for large areas
exploration has been attracting many researchers, since their use can be effective in several …

A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles

B Chen, D Sun, J Zhou, W Wong, Z Ding - Information Sciences, 2020 - Elsevier
Autonomous vehicles (AVs) being an essential component of the future smart city traffic
system is a hot topic in recent years, even though it is still in its development stage. It is …

Task-Oriented Koopman-Based Control with Contrastive Encoder

X Lyu, H Hu, S Siriya, Y Pu… - Conference on Robot …, 2023 - proceedings.mlr.press
We present task-oriented Koopman-based control that utilizes end-to-end reinforcement
learning and contrastive encoder to simultaneously learn the Koopman latent embedding …

Koopman-based MPC with learned dynamics: Hierarchical neural network approach

M Wang, X Lou, W Wu, B Cui - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article presents a data-driven control strategy for nonlinear dynamical systems,
enabling the construction of a Koopman-based linear system associated with nonlinear …

Reduction of power consumption on quadrotor vehicles via trajectory design and a controller-gains tuning stage

R Miranda-Colorado, LT Aguilar… - Aerospace Science and …, 2018 - Elsevier
This work presents a methodology for reducing power consumption on quadrotor vehicles.
The proposed methodology combines both, a trajectory design procedure and a controller …

A methodology for setting-up a low-cost quadrotor experimental platform

I Domínguez, R Miranda-Colorado, LT Aguilar… - Control Engineering …, 2024 - Elsevier
Quadrotor vehicles are captivating devices that serve as valuable platforms for testing and
developing nonlinear control algorithms due to the pronounced nonlinearities in their …

[图书][B] Robots, drones, UAVs and UGVs for operation and maintenance

D Galar, U Kumar, D Seneviratne - 2020 - taylorfrancis.com
Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long
distances, and can be divided into clusters or segments that provide different levels of …