Robotics for Environment Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 6973
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the last decades, robotics has evolved significantly, both in terms of technologies developed and applications, especially in the field of environmental monitoring. Robots have been developed in different shapes, sizes and with different capabilities becoming a fundamental data gathering tool for scientists studying – not only – our planet. Design and implementation of robotic systems for environmental research still present significant challenges to robotics researchers, especially in the field of Mobile Robot Olfaction (MRO) – the discipline that studies mobile robots with gas sensing capabilities. MRO requires the fusion of different disciplines, such as signal processing, machine perception, autonomous navigation, and pattern recognition, in order to address the challenges related to gas and environmental sensing in unstructured environments. Typical tasks addressed by MRO systems are trial guidance, gas distribution modeling/mapping, and gas source localization as well as gas detection/finding, odor discrimination and concentration estimation, gas plume tracking, and gas source declaration. To address these tasks, gas and other environmental sensors are deployed on a single robot, a robot swarm, or as a mobile (robotic) node in a much bigger heterogeneous sensor network. Aerial Robot Olfaction (ARO) is a subcategory of MRO that addresses MRO related tasks with aerial robots and deals with the challenges of aerial-based gas and environmental sensing. This special issue centers around contributions in the field of Mobile Robot Olfaction. Its focuses applications for the challenges of real-world gas and environmental sensing. Papers should address how robotic systems, perceptual algorithms, chemical and environmental sensors, approaches to sensor fusion, decision support, human-robot interaction, or adaptive sensor planning deal with real-world conditions. Research questions may address, the limited control of the environment, open sampling processes, rapidly fluctuating concentration levels, turbulent gas and dust dispersal, and related topics.
Dr. Patrick P. Neumann
Guest Editor
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.
Keywords
- Mobile Robot Olfaction
- chemical and environmental sensors
- in situ or remote gas sensing
- electronic nose
- open vs. closed sampling system
- sensor networks
- gas dispersal, detection or discrimination
- gas distribution mapping
- gas source localization
- Artificial Intelligence
- Machine Learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.