Special Issue "Navigation and Control of UAVs"

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: 15 December 2019.

Special Issue Editors

Prof. Dr. Houria Siguerdidjane
E-Mail Website
Guest Editor
CentraleSupélec, Gif-sur-Yvette 91190, France
Interests: nonlinear systems; aerospace control problems; power systems
Prof. Dr. David Hyunchul Shim
E-Mail Website
Guest Editor
Department of Aerospace Engineering, Korea Advanced Institute of Science & Technology, Daejeon 34141, Korea
Interests: UAV, autonomous vehicles, robotics

Special Issue Information

Dear Colleagues,

In the last decade, Unmanned Aerial Vehicles (UAVs) have shown remarkable advances over several domains of civilian or military operations, particularly in terms of control stabilization on prescribed tracking trajectories, path-following, and waypoint passage precision; obstacle avoidance; and hovering situations. Indeed, due to the large spectrum of UAV applications that are constantly emerging, intelligent control applications are paving the future.

The resulting actual UAV performance stems from the efficiency of the navigation and control systems. However, in spite of this enormous progress made in theoretical investigations, the performance may become considerably worse in harsh flight conditions. As the energy on board is limited, it does not allow for alternative solutions that can result in dramatic situations. Furthermore, the evolution of relevant technologies for UAVs, including measurement and detection units, localization, and mapping modules requires a performance increase.

Therefore, the objective of this Special Issue is to underline the methodologies and techniques of navigation and control that are currently under development, in simulation tests or validated through experiments. In order to match the safety guarantees, developments are made to maintain the UAV within an acceptable level of performance in such a way that the mission for which the UAV is devoted cannot fail under harsh conditions. Consequently, the UAV should fully accomplish its mission by showing the capability to reject disturbances (constant or not), making appropriate decisions when flying in specific hostile environments, optimizing its energy on board, and being robust with regard to structured uncertainties, while taking into consideration physical constraints.

In addition, to improve systems and fulfill safety guarantees, the algorithms of control and guidance-navigation should have good estimates of the UAVs’ state and should be well implemented and well optimized through an easily reconfigurable architecture, profiting from the increase of computational capabilities.

Topics of interest include (but are not limited to) the following:

  • The navigation and control of UAVs in harsh conditions
  • UAVs control in uncertain environments
  • High-accuracy navigation techniques
  • Vision-based integrated navigation
  • Localization, navigation, and dynamic path planning
  • Quantum control in the framework of UAVs
  • Robust IMC- and MPC-based control
  • Intelligent control of UAVs
  • Distributed and consensus control of multiple UAVs
  • Cooperative control of multiple UAVs
  • Autonomous collision avoidance control
  • Path planning optimization and coverage
  • Energy shaping control
  • UAV motion planning
  • Energy optimization
  • Low-delay control techniques

Prof. Dr. Houria Siguerdidjane
Prof. Dr. David Hyunchul Shim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Open AccessArticle
Cooperative Optimization of UAVs Formation Visual Tracking
Robotics 2019, 8(3), 52; https://doi.org/10.3390/robotics8030052 - 07 Jul 2019
Abstract
The use of unmanned vehicles to perform tiring, hazardous, repetitive tasks, is becoming a reality out of the academy laboratories, getting more and more interest for several application fields from the industrial, to the civil, to the military contexts. In particular, these technologies [...] Read more.
The use of unmanned vehicles to perform tiring, hazardous, repetitive tasks, is becoming a reality out of the academy laboratories, getting more and more interest for several application fields from the industrial, to the civil, to the military contexts. In particular, these technologies appear quite promising when they employ several low-cost resource-constrained vehicles leveraging their coordination to perform complex tasks with efficiency, flexibility, and adaptation that are superior to those of a single agent (even if more instrumented). In this work, we study one of said applications, namely the visual tracking of an evader (target) by means of a fleet of autonomous aerial vehicles, with the specific aim of focusing on the target so as to perform an accurate position estimation while concurrently allowing a wide coverage over the monitored area so as to limit the probability of losing the target itself. These clearly conflicting objectives call for an optimization approach that is here developed: by considering both aforementioned aspects and the cooperative capabilities of the fleet, the designed algorithm allows controling in real time the single fields of view so as to counteract evasion maneuvers and maximize an overall performance index. The proposed strategy is discussed and finally assessed through the realistic Gazebo-ROS simulation framework. Full article
(This article belongs to the Special Issue Navigation and Control of UAVs)
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