Human-Robot Interaction and Collaboration for Effective Solutions to Real-World Problems

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

Deadline for manuscript submissions: 15 November 2024 | Viewed by 322

Special Issue Editors


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Guest Editor
Department of Production and Management Engineering, Democritus University of Thrace, 671 32 Xanthi, Greece
Interests: semantic mapping; navigation and self-localization

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Guest Editor
Department of Production and Management Engineering, Democritus University of Thrace, 69100 Komotini, Greece
Interests: data science; computer vision; information systems; business intelligence; artificial intelligence

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Guest Editor
Department of Production and Management Engineering, Democritus University of Thrace, 69100 Komotini, Greece
Interests: intelligent and autonomous robots; safety in mechatronic systems; design and implementation of VLSI digital systems and FPGAs; digital image processing

Special Issue Information

Dear Colleagues,

The Special Issue entitled "Human-Robot Interaction and Collaboration for Effective Solutions to Real-World Problems" focuses on innovative technologies aiming at addressing challenges arising from human and robot coexistence in various environments, namely domestic and work environments. This Special Issue will feature research on communication interfaces that allow for intelligent human-robot interactions, the deployment of adaptive robots in close cooperation with humans in sensitive environments, and the role of autonomous systems that work in proximity with humans in critical scenarios. Articles will include case studies, technological innovations, and methodologies that demonstrate the significant impact of human-robot partnerships in enhancing operational efficiency, safety, and problem-solving in real-world applications.

Dr. Vasiliki Balaska
Dr. Symeon Symeonidis
Prof. Dr. Antonios Gasteratos
Guest Editors

Manuscript Submission Information

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Keywords

  • human-robot interaction (HRI)
  • collaborative robotics
  • adaptive and autonomous robots
  • communication interfaces
  • conversational AI
  • social navigation
  • LLM-powered robots

Published Papers (1 paper)

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Research

15 pages, 3000 KiB  
Article
Enabling Self-Practice of Digital Audio–Tactile Maps for Visually Impaired People by Large Language Models
by Chanh Minh Tran, Nguyen Gia Bach, Phan Xuan Tan, Eiji Kamioka and Manami Kanamaru
Electronics 2024, 13(12), 2395; https://doi.org/10.3390/electronics13122395 - 19 Jun 2024
Viewed by 199
Abstract
Digital audio–tactile maps (DATMs) on touchscreen devices provide valuable opportunities for people who are visually impaired (PVIs) to explore the spatial environment for engaging in travel activities. Existing solutions for DATMs usually require extensive training for the PVIs to understand the feedback mechanism. [...] Read more.
Digital audio–tactile maps (DATMs) on touchscreen devices provide valuable opportunities for people who are visually impaired (PVIs) to explore the spatial environment for engaging in travel activities. Existing solutions for DATMs usually require extensive training for the PVIs to understand the feedback mechanism. Due to the shortage of human resources for training specialists, as well as PVIs’ desire for frequent practice to maintain their usage skills, it has become challenging to widely adopt DATMs in real life. This paper discusses the use of large language models (LLMs) to provide a verbal evaluation of the PVIs’ perception, which is crucial for the independent practice of DATM usage. A smartphone-based prototype providing DATMs of simple floor plans was developed for a preliminary investigation. The evaluation results have proven that the interaction with the LLM could help the participants better understand the DATMs’ content and could vividly replicate them by drawings. Full article
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