Novel Technologies in Navigation and Control

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 10 October 2024 | Viewed by 66

Special Issue Editors

Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Interests: observer-navigation algorithm; nonlinear control system; robotic systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor Assistant
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Interests: dynamics; control; flight simulation

Special Issue Information

Dear Colleagues,

In recent years, unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) have gained significant momentum among researchers and industries. Applications such as surveillance, infrastructure inspection, delivery, or search-and-rescue greatly benefit from the time and cost efficiency of the robotic platforms. In this context, the aim of the present proposal is to address the problem of autonomous and safe robot navigation and control, which are necessary functions to perform each of the tasks described above. As the extensive literature testifies, the exploration of solutions to realize autonomous navigation and control is still an open and evolving challenge, particularly in the light of contemporary fast-paced technological development. Indeed, the cost-effectiveness of the onboard sensors and the increase in the available computational power make it possible to realize efficient strategies for accurate localization, target estimation, precise path following, and decentralized control.

This Special Issue will explore such topics by collecting papers and reviews focusing on the most recent advances regarding the following fields:

  • Task decentralization and consensus-based control;
  • Distributed filtering for target detection;
  • Flocking, collaborative path planning and collision avoidance;
  • Disturbance rejection and robust control;
  • Multi-sensor fusion and GPS-denied navigation;
  • Wind, ground- and wall-effect estimation;
  • Machine learning-based navigation and control;
  • Adaptive, optimal and robust control;
  • Coordinated navigation and control of formations and swarms;
  • Control under vehicle, operational and actuation constraints.

Dr. Elisa Capello
Guest Editor

Dr. Mauro Mancini
Guest Editor Assistant

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 submissions that pass pre-check are 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Keywords

  • UAV applications
  • control of multi-agent systems
  • path planning and collision avoidance
  • distributed estimation algorithms

Published Papers

This special issue is now open for submission.
Back to TopTop