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Ambient Intelligence: Sensors, Challenges, Opportunities, Emerging Trends, and New Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (1 September 2024) | Viewed by 1337

Special Issue Editors


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Guest Editor
1. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
2. Laboratório para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
Interests: artificial intelligence; multi-agent systems; ambient intelligence; Internet of Things (IoT); learning dashboards

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Guest Editor
Integrated Researcher at Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnical University of Bragança, Campus Santa Apolónia, 5300-253 Bragança, Portugal
Interests: intelligent decision support systems; ambient intelligence; semantic web; Internet of Things, blockchains

Special Issue Information

Dear Colleagues,

Research on ambient intelligence (AmI) has made significant advances in making the ideal a reality; it has also fostered a better understanding of the problem and the concept's potential. On the other hand, more technologies and knowledge areas are increasingly contributing to new advances in this paradigm. More than solutions, horizons are broadened, new application contexts are discovered, and new opportunities and new challenges are faced. In addition, if until now the effort was focused on the user, now it is needed to consider other dimensions. A more effective management of resources is required, promoting values associated with environmental footprint, sustainability, and recyclable economy, among many others.

This Special Issue of Sensors aims to supply the opportunity to publish original research about sensors, challenges, opportunities, trends, and applications within the scope of AmI.

Potential topics in the context of AmI include, but are not limited to:

  • Smart/intelligent sensors (physical and virtual);
  • Internet of Things;
  • Sustainability awareness;
  • Context aware computing;
  • Sentient computing;
  • Ambient assisted living;
  • Human-centered interfaces;
  • Human–environment interaction;
  • Emotion recognition;
  • Artificial intelligence;
  • Ubiquitous computing;
  • Pervasive computing;
  • Fog computing;
  • Edge computing;
  • Big data;
  • Blockchains;
  • Cyber security.

Prof. Dr. Pedro Oliveira
Prof. Dr. Paulo Matos
Prof. Dr. Paulo Novais
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. Sensors 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 2600 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.

 

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Published Papers (1 paper)

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Research

25 pages, 2251 KiB  
Article
Toward a Generic Framework for Mission Planning and Execution with a Heterogeneous Multi-Robot System
by Mohsen Denguir, Ameur Touir, Achraf Gazdar and Safwan Qasem
Sensors 2024, 24(21), 6881; https://doi.org/10.3390/s24216881 - 26 Oct 2024
Viewed by 728
Abstract
This paper presents a comprehensive framework for mission planning and execution with a heterogeneous multi-robot system, specifically designed to coordinate unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) in dynamic and unstructured environments. The proposed architecture evaluates the mission requirements, allocates tasks, [...] Read more.
This paper presents a comprehensive framework for mission planning and execution with a heterogeneous multi-robot system, specifically designed to coordinate unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) in dynamic and unstructured environments. The proposed architecture evaluates the mission requirements, allocates tasks, and optimizes resource usage based on the capabilities of the available robots. It then executes the mission utilizing a decentralized control strategy that enables the robots to adapt to environmental changes and maintain formation stability in both 2D and 3D spaces. The framework’s architecture supports loose coupling between its components, enhancing system scalability and maintainability. Key features include a robust task allocation algorithm, and a dynamic formation control mechanism, using a ROS 2 communication protocol that ensures reliable information exchange among robots. The effectiveness of this framework is demonstrated through a case study involving coordinated exploration and data collection tasks, showcasing its ability to manage missions while optimizing robot collaboration. This work advances the field of heterogeneous robotic systems by providing a scalable and adaptable solution for multi-robot coordination in challenging environments. Full article
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