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Symmetry
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Symmetry/Asymmetry and Autonomous Robotics
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Symmetry/Asymmetry and Autonomous Robotics

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1101

Special Issue Editors

Dr. Redhwan Algabri

E-Mail Website
Guest Editor
Assistant Professor, Department of Computer Science & Engineering, College of AI Convergence, Sejong University, Seoul 05006, Republic of Korea
Interests: pose estimation; 6DoF poses; mobile robot; human following; trajectory prediction
Prof. Dr. Francisco Yumbla

E-Mail Website
Guest Editor
Faculty of Mechanical Engineering and Production Sciences, ESPOL, Guayaquil 090902, Ecuador
Interests: autonomous vehicles; manipulation of robotic arms; design of robots; manipulators and sensors; artificial intelligence
Prof. Dr. Nabih Pico

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Sungkyunkwan University, Suwon 2066, Republic of Korea
Interests: robotics; autonomous robot navigation; motion planning and control; SLAM; deep learning; deep reinforcement learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to provide a comprehensive platform for researchers and practitioners to showcase the latest advancements and novel ideas in the field of mobile robot navigation and control.

In robotics, symmetry supports efficient design, locomotion, manipulation, and perception by leveraging balanced configurations and predictable dynamics.  It endeavors to bridge the gap between theoretical research and real-world applications, fostering innovation and progress in this dynamic area. By highlighting emerging trends, the Special Issue aims to inspire further exploration and development, ultimately enhancing the capabilities and performance of mobile robots across various domains.

The scope of this Special Issue encompasses a wide range of topics related to the navigation and control of mobile robots. The Guest Editors invite papers related, but not limited, to the following topics:

  • Symmetry in robotics.
  • Asymmetry in autonomous systems.
  • Applications of mobile robot navigation.
  • Navigation based on maps, landmarks, vision, data fusion, and deep learning.
  • Machine learning and AI in mobile robot navigation.
  • Development of robotics and sensors designed for navigation.
  • Path planning and trajectory prediction.
  • Self-localization.
  • Estimation and learning for robotics systems.
  • Network control systems.
  • Tracking algorithms.
  • Human–robot interaction.
  • Object pose estimation.

Dr. Redhwan Algabri
Prof. Dr. Francisco Yumbla
Prof. Dr. Nabih Pico
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 250 words) can be sent to the Editorial Office for assessment.

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. Symmetry is an international peer-reviewed open access monthly 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

  • mobile robot
  • trajectory prediction
  • navigation
  • control system
  • sensing

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Published Papers (1 paper)

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Research

17 pages, 3614 KB  
Article
Adaptive Cooperative Control of Dual-Arm Robots Using RBF-ADP with Event-Triggering Mechanism
by Yuanwei Dai
Symmetry 2026, 18(3), 437; https://doi.org/10.3390/sym18030437 - 3 Mar 2026
Viewed by 392
Abstract
High-precision cooperative control of dual-arm manipulators faces significant challenges arising from complex dynamic coupling, parametric uncertainties, and external disturbances. Furthermore, in networked control scenarios, communication bandwidth and computational resources are inevitably constrained. To address these issues, this paper proposes a novel composite control [...] Read more.
High-precision cooperative control of dual-arm manipulators faces significant challenges arising from complex dynamic coupling, parametric uncertainties, and external disturbances. Furthermore, in networked control scenarios, communication bandwidth and computational resources are inevitably constrained. To address these issues, this paper proposes a novel composite control framework that integrates adaptive dynamic programming (ADP) with active disturbance rejection control (ADRC) under a static event-triggering mechanism (SETM). First, to handle model uncertainties and external perturbations, a smooth nonlinear extended state observer (ESO) based on continuous fractional-power functions is developed. This observer guarantees finite-time convergence of the disturbance estimation without inducing the high-frequency chattering inherent in conventional sliding-mode observers. Second, leveraging the disturbance-compensated dynamics, a radial basis function (RBF) neural network-based ADP controller is designed to learn the optimal control policy online, thereby minimizing a quadratic performance index without requiring accurate model knowledge. Third, to improve resource utilization, a static event-triggering strategy is introduced to schedule control updates based on the system state and tracking error. Extensive simulation studies on a 3-DoF dual-arm system demonstrate that the proposed scheme achieves superior trajectory tracking accuracy and disturbance robustness while significantly reducing the communication frequency compared to time-triggered approaches. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry and Autonomous Robotics)
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