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Electronics
Special Issues
Multi-UAV Systems and Mobile Robots
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Multi-UAV Systems and Mobile Robots

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 1994

Special Issue Editors

Dr. Daxiong Ji

E-Mail Website
Guest Editor
Ocean College, Zhejiang University, Hangzhou, China
Interests: control of marine robotics
Special Issues, Collections and Topics in MDPI journals
Dr. Xu Yang

E-Mail Website
Guest Editor
Institute of Automation, Chinese Academy of Sciences, Beijing 100000, China
Interests: computer/robot vision; pattern analysis; robot cognition and developmental learning
Special Issues, Collections and Topics in MDPI journals
Dr. Chenglong Du

E-Mail Website
Guest Editor
School of Automation, Central South University, Changsha 410083, China
Interests: multi-agent systems; robust control and learning algorithms; mechatronics and its applications

Special Issue Information

Dear Colleagues,

With the continuous progress of technology, mobile robot systems, including unmanned aerial vehicles, multi-robot systems, and ocean robot systems, have developed rapidly, and their application fields are also constantly expanding. Nowadays, it is difficult for single-configuration robots to complete efficient tasks in complex multimedia environments. The combination of unmanned aerial vehicle cluster systems and heterogeneous mobile robots such as ocean and land robots has become an important breakthrough in solving the above problems. The combination of multiple unmanned aerial vehicle systems and ocean and land mobile robots has a strong and scalable collaborative ability and a multi-medium and multi-task space, which is increasingly receiving widespread attention from researchers.

The implementation of the core functions of the aforementioned intelligent system involves key technologies such as high-performance electronic design, intelligent control, and multi-sensor and multi-information fusion of robot systems, which is closely related to the scope of this journal's submission. In order to showcase the latest achievements of researchers in this field and strengthen academic exchanges in this field, this Special Issue has been organized.

In this Special Issue, original research articles and reviews are welcome.

The topics of interest include, but are not limited to the following:

  • Advanced modeling and identification of complex robotic systems;
  • Ocean/land/air robot system control based on trajectory planning/optimization;
  • Mobile robot system control based on intelligent learning;
  • Human-robot collaborative control of heterogeneous robot cluster system;
  • Collaborative control of multiple unmanned aerial systems;
  • Sensor-based land/air/ocean robotic gripping or manipulation control;
  • Cross-domain robot cluster system collaborative control.

Dr. Daxiong Ji
Dr. Xu Yang
Dr. Chenglong Du
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 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. Electronics 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

  • modeling and identification
  • control based on trajectory planning/optimization
  • heterogeneous robot cluster system
  • multiple unmanned aerial systems
  • cross-domain robot cluster system collaborative control
  • control based on intelligent learning

Published Papers (2 papers)

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Research

32 pages, 1844 KiB  
Article
Performance Test, Index System Establishment, and Comprehensive Evaluation of Earthquake Rescue Robots
by Liming Li and Zeang Zhao
Electronics 2024, 13(7), 1401; https://doi.org/10.3390/electronics13071401 - 8 Apr 2024
Viewed by 394
Abstract
To effectively enhance the adaptability of earthquake rescue robots in dynamic environments and complex tasks, there is an urgent need for a comprehensive evaluation method that encompasses establishing an evaluation index system, testing performance indexes, and conducting performance evaluation. Firstly, four main criterion [...] Read more.
To effectively enhance the adaptability of earthquake rescue robots in dynamic environments and complex tasks, there is an urgent need for a comprehensive evaluation method that encompasses establishing an evaluation index system, testing performance indexes, and conducting performance evaluation. Firstly, four main criterion and twenty-three sub-criterion indexes are established by conducting a comprehensive review of existing assessment measures for rescue robots across diverse domains. These indexes are validated through test modules developed by the National Earthquake Response Support Service to obtain corresponding values for each criterion. Moreover, a method for establishing the index system is proposed based on the fuzzy clustering analysis and grey correlation analysis methods. This method effectively addresses issues related to excessive subjectivity, redundancy, and ambiguous stratification of indexes. Subsequently, the DEMATEL is employed to scrutinize the interrelationships and causal connections among each index within the established index system, leading to the identification of input and output indexes based on the analysis outcomes. Finally, as an empirical example, three earthquake rescue robots are comprehensively evaluated and ranked using the super efficiency DEA model. Alongside analyzing results regarding input redundancy and output deficiency, targeted improvement suggestions are provided for each earthquake rescue robot. Additionally, comparison analysis with the entropy weight method and VIKOR method verifies the effectiveness of our proposed method. Full article
(This article belongs to the Special Issue Multi-UAV Systems and Mobile Robots)
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16 pages, 608 KiB  
Article
A High-Precision Positioning Method for Autonomous Underwater Vehicles with Communication Delays
by Pei Li, Zongyao Li, Chaoyang Chen, Juan Chen and Zuguo Chen
Electronics 2024, 13(3), 466; https://doi.org/10.3390/electronics13030466 - 23 Jan 2024
Viewed by 842
Abstract
In underwater navigation of autonomous underwater vehicles (AUVs), communication delays frequently occur, leading to a reduction in positioning accuracy. To mitigate this challenge, this work introduces a novel method for relative angle correction, aiming to reconstruct measurement information. Initially, Doppler measurement data are [...] Read more.
In underwater navigation of autonomous underwater vehicles (AUVs), communication delays frequently occur, leading to a reduction in positioning accuracy. To mitigate this challenge, this work introduces a novel method for relative angle correction, aiming to reconstruct measurement information. Initially, Doppler measurement data are assimilated into the reconstruction of measurement equations to determine the relative angle between the AUV and the observatory. Subsequently, the obtained angle information is integrated into the Extended Kalman Filter (EKF) for the reconstruction of measurement equations. The proposed method effectively reduces positioning errors caused by hydroacoustic communication delays, consequently enhancing AUV positioning accuracy. The efficacy of the proposed method is demonstrated through a simulation study. Simulation results reveal that the incorporation of Doppler angle correction in the reconstructed measurement information method significantly decreases the localization error by approximately 50% compared to EKF and by around 20% compared to the method lacking angle correction. Full article
(This article belongs to the Special Issue Multi-UAV Systems and Mobile Robots)
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