Teleoperation of Semi-Autonomous Systems

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

Deadline for manuscript submissions: 15 July 2026 | Viewed by 643

Special Issue Editors


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Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Interests: integrated autonomous systems; wireless communications; systems integration; sensing technologies

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Interests: robotic communications; connected vehicles; connected robots and teleoperated systems; communications for intelligent vehicles and systems

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to present recent advances, challenges, and innovations in the teleoperation of semi-autonomous systems across a variety of domains, including robotics, autonomous vehicles, unmanned aerial systems, healthcare, and industrial automation. Semi-autonomous systems, which operate with varying levels of autonomy under human supervision or control, are increasingly relevant in complex, uncertain, and dynamic environments where full autonomy is either infeasible or undesirable. Teleoperation introduces an added layer of flexibility and reliability by integrating human decision-making with autonomous functionalities.

This Special Issue seeks to explore emerging methodologies in human–machine interaction, real-time communication, control architectures, sensor fusion, artificial intelligence, haptic feedback, and networked system integration that facilitate effective teleoperation. Contributions addressing latency mitigation, trust and transparency, cybersecurity, and ethical considerations are also welcome to be submitted.

This Special Issue aims to collate interdisciplinary perspectives that define the current state of the art and identify future research directions that can enhance safety, efficiency, and usability in semi-autonomous teleoperated systems.

Dr. Shuja Ansari
Dr. Olaoluwa Popoola
Guest Editors

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Keywords

  • teleoperation
  • semi-autonomous systems
  • human–machine interaction
  • remote control
  • autonomous robotics
  • networked control systems
  • sensor fusion
  • real-time systems
  • haptic feedback
  • AI for robotics

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Published Papers (1 paper)

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Research

24 pages, 5827 KB  
Article
Collision Avoidance with the Novel Advanced Shared Smooth Control in Teleoperated Mobile Robot Vehicles
by Teressa Talluri, Eugene Kim, Myeong-Hwan Hwang, Amarnathvarma Angani and Hyun-Rok Cha
Electronics 2026, 15(7), 1510; https://doi.org/10.3390/electronics15071510 - 3 Apr 2026
Viewed by 303
Abstract
To address collision risks in teleoperated mobile robotic vehicles, this study proposes a Human–Machine Interaction-based Advanced Smooth Shared Control (ASSC) system aimed at enhancing obstacle avoidance and achieving smooth shared control between human operators and the automation system. The ASSC system integrates a [...] Read more.
To address collision risks in teleoperated mobile robotic vehicles, this study proposes a Human–Machine Interaction-based Advanced Smooth Shared Control (ASSC) system aimed at enhancing obstacle avoidance and achieving smooth shared control between human operators and the automation system. The ASSC system integrates a novel approach using predictive vectors to represent the vehicle’s heading position, automatically adjusting the steering position upon obstacle detection to ensure smooth collision avoidance without changing the driver’s perception. Feedback forces applied to the steering wheel are calculated through an artificial potential field algorithm. Twenty participants were invited to operate the vehicle, providing feedback on the ASSC system’s performance relative to conventional obstacle avoidance methods. Performance metrics such as the effects of communication delays, Time to Complete the Task (TTC), ASSC effectiveness, performance of the delay impact on the ASSC system, and the Number of Obstacle Collisions (NOC) are analyzed. The results demonstrate that the ASSC system significantly outperforms traditional obstacle avoidance methods, providing more precise control in teleoperation. Statistical analysis indicates that the ASSC system improves safety, comfort and operational performance by 12.8%. This research highlights the ASSC system as a promising solution for enhancing automation, safety, and human–machine interaction in teleoperated mobile robotic vehicles. Full article
(This article belongs to the Special Issue Teleoperation of Semi-Autonomous Systems)
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