Multi-Robot platform with features of Cyber-physical systems for education applications

Escobar, Luis; Moyano, Cristian; Aguirre, Gabriel; Guerra, Gabriel; Allauca, Luis; Loza, David

doi:10.1109/andescon50619.2020.9272030

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…Mohamed et al [52] review engineering tools and languages for CPSs. Most existing platforms, however, tend to (1) require a large initial learning curve, making them unsuitable for educational purposes; (2) offer insufficient performance capabilities to support their use for prototyping state-of-the-art algorithms and ICPSs; or (3) solely focus on a single aspect of ICPSs, restricting their ability to demonstrate and explore all the elements that make up a complete ICPS [53].…”

Section: Literature Gaps and Contributionsmentioning

confidence: 99%

Intelligent Embedded Systems Platform for Vehicular Cyber-Physical Systems

2023

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Intelligent vehicular cyber-physical systems (ICPSs) increase the reliability, efficiency and adaptability of urban mobility systems. Notably, ICPSs enable autonomous transportation in smart cities, exemplified by the emerging fields of self-driving cars and advanced air mobility. Nonetheless, the deployment of ICPSs raises legitimate concerns surrounding safety assurance, cybersecurity threats, communication reliability, and data management. Addressing these issues often necessitates specialised platforms to cater to the heterogeneity and complexity of ICPSs. To address this challenge, this paper presents a comprehensive CPS to explore, develop and test ICPSs and intelligent vehicular algorithms. A customisable embedded system is realised using a field programmable gate array, which is connected to a supervisory computer to enable networked operations and support advanced multi-agent algorithms. The platform remains compatible with multiple vehicular sensors, communication protocols and human–machine interfaces, essential for a vehicle to perceive its surroundings, communicate with collaborative systems, and interact with its occupants. The proposed CPS thereby offers a practical resource to advance ICPS development, comprehension, and experimentation in both educational and research settings. By bridging the gap between theory and practice, this tool empowers users to overcome the complexities of ICPSs and contribute to the emerging fields of autonomous transportation and intelligent vehicular systems.

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Section: Literature Gaps and Contributionsmentioning

confidence: 99%

Intelligent Embedded Systems Platform for Vehicular Cyber-Physical Systems

2023

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“…Whereas teaching tools is when the IoT devices is developed or operated by the mentors or teachers. (Setiawan, 2020), (Verner et al, 2020), (He et al, 2017), (Jaklič, 2020), (Escobar et al, 2020), (Besari et al, 2017), (Zaharov et al, 2018), (Hauß et al, 2020) Non-Engineering (Paganelli et al, 2019), (Gunasekera et al, 2018a) There are seven IoT platforms are mentioned, Blynk, Node-Red IoT, FIWARE, SiteWhere, ThingsBoard, ThingSpeak, ThingsBoard. Based on the reviews, there are 2 types of how the researches use IoT platforms on their Strategy Authors Learning Media (Ga et al, 2021), (Asraf et al, 2018), (Paganelli et al, 2019), (Gunasekera et al, 2018a), (Mayer et al, 2020), (Guerrero-Osuna et al, 2021), (Setiawan, 2020), (Verner et al, 2020), (He et al, 2017), (Jaklič, 2020), (Besari et al, 2017), (Zaharov et al, 2018), (Hauß et al, 2020) Teaching Tool (Andrada Tivani et al, 2020), (Escobar et al, 2020) Proceedings of the International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, March 7-10, 2022…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Such as IoT based projects to learn programming and engineering subjects, introducing IoT as new technology (Paganelli et al, 2019), learning other subjects besides IoT and programming like biomedical as shown on Figure7 (Setiawan, 2020), robotics (Verner et al, 2020), production line (Zaharov et al, 2018), or agriculture (Gunasekera et al, 2018b). Meanwhile, for teaching tools, the teachers themselves operated or developed the device to assist in the teaching processes as if MQTT protocol teaching (Andrada Tivani et al, 2020) and multi-robot platform for teaching automation system as shown on Figure 8 (Escobar et al, 2020).…”

Section: Iot Platforms Application Strategiesmentioning

confidence: 99%

A Systematic Review of IoT Platforms in Educational Processes

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The use of IoT for teaching and learning processes begins to increase. To support the use of the IoT device itself, a platform can be used. The IoT platform gives IoT components the ability to self-regulate so they can help beginners or students deploy IoT devices. Nevertheless, the current state of knowledge in using IoT platforms within the educational field is limited. Therefore, we want to elaborate on how IoT platforms are used to support IoT educational learning tools and enhance educational processes. The research method used is a systematic review and PRISMA is being used as a research protocol. After fifteen articles are screened based on their qualification, we found there are seven platforms frequently mentioned, research results show these learning tools increase students' interest in the subject as well as provide new knowledge of IoT in educational processes for both engineering and non-engineering fields.

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