Sensors and Sensing Technologies in Remote Laboratories
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: 20 August 2025 | Viewed by 2881
Special Issue Editors
Interests: remote labs; online learning
Special Issues, Collections and Topics in MDPI journals
Interests: remote labs; online learning
Interests: remote labs; online learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of Sensors aims to serve the scientific community as a reference for all researchers and teachers in any field of engineering and experimental sciences who use sensors as a mediating technology between real experiments and remote experimenters. Remote laboratories have emerged as a technological paradigm that allows us to democratize access to real physical resources that can be located anywhere in the world to carry out practical experiments as if the students were physically in front of them.
In a remote laboratory, just as in a hands-on laboratory, the response of the experiment depends on the student's configuration of the control parameters and the uncertainty inherent in the measuring instruments. That is, the response is not pre-recorded or defined by an algorithm. Thus, for the student to have as much information as possible during the execution of the experiment, it is necessary to provide the remote experiment with a set of sensors to capture, process, and transmit this information.
In this Special Issue, we want to give special relevance to those remote laboratories, data acquisition systems, embedded systems, technologies, solutions, and applications designed to meet these requirements, allowing the remote student or engineer to have access to quality information that allows them to carry out and understand practical experiences mediated by the Internet.
Potential topics include, but are not limited to:
- Remote sensing and control;
- Remote laboratories;
- Online engineering;
- Industry 4.0 and education;
- Digital twins;
- Smart remote education;
- Embedded system for remote sensing in education;
- Smart sensors in educational scenarios.
Prof. Dr. Unai Hernandez
Prof. Dr. Javier Garcia-Zubia
Prof. Dr. Gustavo Alves
Dr. André Fidalgo
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing and control
- remote laboratories
- smart remote education
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