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Applied Sciences
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Advances in Collaborative Robotics for Service, Industrial and Green Applications
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Advances in Collaborative Robotics for Service, Industrial and Green Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 17997

Special Issue Editor

Dr. Nicola Pellegrini

E-Mail Website
Guest Editor
Department of Mechanical and Industrial Engineering, Università degli Studi di Brescia, Via Branze, 38, 25123 Brescia, BS, Italy
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,

Today’s advances in robotics promise to deliver autonomous systems that can work safely along with humans and improve humans’ overall working conditions. In this context, collaborative robotics is booming and is playing a crucial role in improving the quality of lives of individuals. At the same time, robot and mechatronics applications have rapidly expanded from the industrial environment to human assistance in rehabilitation and functional improvements. Furthermore, there are many open challenges and opportunities to integrate engineering concepts into green applications.

This motivates researchers to study, design, and develop novel enabling robotics technologies and methods. In the near future, the development of many collaborative applications will play an essential part in the smart industry and smart cities. Specifically, the challenge is to transfer the research results and new knowledge to stakeholders, creating a general awareness of the importance of engineering in service, rehabilitation, and green applications.

Considering the dynamic nature of collaborative robotics, there are a series of challenges, including robot task efficiency, safety and security, decision decentralization, machine learning, risk and confidence management, and energy consumption.

The scope of this Special Issue is to collect high-quality research that reports on recent advances and developments in designing sustainable collaborative robotics focusing on innovative systems, mechatronic devices, and technologies for service robots, industrial processes, and rehabilitative and smart city applications, also highlighting the economic and social implications.

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. Applied Sciences 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 2400 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

  • Collaborative robot
  • Machine learning
  • Energy efficiency in data processing and robot usage
  • Sensor for challenging applications
  • Robot perception and cognition
  • Safety and security implications in challenging environments
  • Service robot
  • Smart industries
  • Rehabilitative robot
  • City application
  • Robot and mechatronic system interaction

Published Papers (1 paper)

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Review

22 pages, 498 KiB  
Review
Augmented Reality: A Systematic Review of Its Benefits and Challenges in E-learning Contexts
by Nouf Matar Alzahrani
Appl. Sci. 2020, 10(16), 5660; https://doi.org/10.3390/app10165660 - 14 Aug 2020
Cited by 87 | Viewed by 17472
Abstract
Augmented reality (AR) has received increasing attention in the research literature as a fundamental pedagogical tool that can enhance learning at most educational levels. In academic contexts, this technology permits the superimposing of three-dimensional images onto the real environment. Although AR has been [...] Read more.
Augmented reality (AR) has received increasing attention in the research literature as a fundamental pedagogical tool that can enhance learning at most educational levels. In academic contexts, this technology permits the superimposing of three-dimensional images onto the real environment. Although AR has been found to enhance learning in the academic environment, no systematic review of it has been conducted to identify, evaluate, and summarize empirical findings on its advantages and challenges in e-learning contexts. Hence, a systematic review of the research literature was conducted on the use of AR in e-learning contexts, with a focus on the key benefits and challenges related to its adoption and implementation. Electronic searches on databases, including Springer, Science Direct, EBSCO, and Google Scholar, were performed to retrieve relevant journal articles; 28 studies were included after they were screened using the inclusion and exclusion criteria. The key benefits of using AR in e-learning included support of kinesthetic (tactile) learning, collaborative learning, distance/remote learning, learner-centered learning, and creative learning. Studies also reported that AR enhanced students’ engagement, motivation, attention/focus, interactivity, verbal participation, concentration, knowledge retention, and spatial abilities, as well as information accessibility. The findings suggest that challenges associated with AR in e-learning include information and cognitive overload, lack of experience in using the technology, resistance from teachers, complex technology, costly technology, and technical issues, such as connectivity problems. Full article
(This article belongs to the Special Issue Advances in Collaborative Robotics for Service, Industrial and Green Applications)
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