Advances in Intelligent Robotics Systems Based Machine Learning
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 30491
Special Issue Editor
Interests: applied mechanics; mechatronics; collaborative robotics; vibration control; reliability and prognostics; robotics integration in manufacturing cells
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent robotics is one of the boosted applications referred to the confluence of digital technologies as the manufacturing decision support system, the autonomous navigation, the vehicle and drone communication, the self-diagnosis and prognostics actions. Furthermore, intelligent robots need not only robot hardware design and control but also robot vision, robot sensor fusion and human-robot interaction. In particular, advanced mechatronics in combination with Big data (deep learning, data mining, sensor technology, Internet of Things, mechanical and electrical engineering) is providing a wide range of increasingly sophisticated robotic and high-tech systems for practical applications in service and manufacturing industry, health care, marketing, logistics, demotics, security and safety. This motivates researchers to study, design, and develop novel enabling robotics technologies and methods. Intelligent technology must be in line with the human responsibility to ensure the basic sustainability and preservation of the environment within a circular paradigm. The challenge is to transfer the research results and new knowledge to stakeholders, creating a general awareness of the importance of the following engineering optimization topics: energy consumption, reliability, availability, and reuse perspectives. The scope of this Special Issue is to collect high-quality research that reports on recent advances and developments in designing sustainable intelligent robotics focusing on machine learning enabling aptitude, mechatronic devices, and technologies for service robots.
Dr. Nicola Pellegrini
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
- machine learning enabling practices
- energy efficiency in robotized layout and data processing
- sensor for challenging applications
- robot perception and cognition
- residual useful life paradigm driven by data mining
- robot human interaction
- big data platform
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 polices can be found here.