Robot Teleoperation Integrating with Augmented Reality

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1389

Special Issue Editors


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Guest Editor
Department of Information Engineering, University of Pisa, Pisa, Italy
Interests: agmented reality; adaptive control; vision-based navigation; guidance system

Special Issue Information

Dear Colleagues,

As robotics technology continues to evolve, the integration of augmented reality (AR) with robot teleoperation is emerging as a transformative approach, enhancing how humans interact with and control robots across various domains. Robots, traditionally confined to simple and repetitive tasks like grasping or pick-and-place operations, are now being employed in more complex scenarios, including medical interventions, industrial automation, and hazardous environment exploration. The inclusion of AR into teleoperation opens up new avenues for increasing the accuracy, safety, and efficiency of these robotic applications.

However, the application of AR in robot teleoperation involves unique challenges, such as designing intuitive AR interfaces, improving sensory feedback, and enhancing control algorithms. These elements are crucial for fostering more natural and effective human–robot interaction. This Special Issue aims to showcase research that pushes the boundaries of AR integration with teleoperated robotic systems, addressing technical challenges, innovations in user experience, and advances in system integration.

We invite authors to submit research that explores innovative methods, approaches, designs, concepts, and software tools tailored to enhancing robot teleoperation through the use of augmented reality. Topics of interest include, but are not limited to, AR interface design, sensory feedback enhancement, the adaptation of control systems for AR, and empirical studies assessing the impact of AR on teleoperation efficacy.

Dr. Hang Su
Prof. Dr. Lorenzo Pollini
Guest Editors

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Keywords

  • augmented reality
  • robot teleoperation
  • sensory feedback
  • user interfaces
  • remote operation
  • human–machine interaction
  • precision control
  • enhanced safety
  • AR integration

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Published Papers (1 paper)

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Research

20 pages, 27274 KiB  
Article
Subtask-Based Usability Evaluation of Control Interfaces for Teleoperated Excavation Tasks
by Takumi Nagate, Hikaru Nagano, Yuichi Tazaki and Yasuyoshi Yokokohji
Robotics 2024, 13(11), 163; https://doi.org/10.3390/robotics13110163 - 9 Nov 2024
Viewed by 786
Abstract
This study aims to experimentally determine the most suitable control interface for different subtasks in the teleoperation of construction robots in a simulation environment. We compare a conventional lever-based rate control interface (“Rate-lever”) with two alternative methods: rate control (“Rate-3D”) and position control [...] Read more.
This study aims to experimentally determine the most suitable control interface for different subtasks in the teleoperation of construction robots in a simulation environment. We compare a conventional lever-based rate control interface (“Rate-lever”) with two alternative methods: rate control (“Rate-3D”) and position control (“Position-3D”), both using a 3D positional input device. In the experiments, participants operated a construction machine in a virtual environment and evaluated the control interfaces across three tasks: sagittal plane excavation, turning, and continuous operation. The results revealed that “Position-3D” outperformed others for sagittal excavation, while both “Rate-lever” and “Rate-3D” were more effective for turning. Notably, “Position-3D” and “Rate-3D” can be implemented on the same input device and are easily integrated. This feature offers the possibility of a hybrid-type interface suitable for operators to obtain optimized performance in sagittal and horizontal tasks. Full article
(This article belongs to the Special Issue Robot Teleoperation Integrating with Augmented Reality)
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