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Peksa J, Mamchur D. A Review on the State of the Art in Copter Drones and Flight Control Systems. SENSORS (BASEL, SWITZERLAND) 2024; 24:3349. [PMID: 38894139 PMCID: PMC11174836 DOI: 10.3390/s24113349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024]
Abstract
This paper presents an overview on the state of the art in copter drones and their components. It starts by providing an introduction to unmanned aerial vehicles in general, describing their main types, and then shifts its focus mostly to multirotor drones as the most attractive for individual and research use. This paper analyzes various multirotor drone types, their construction, typical areas of implementation, and technology used underneath their construction. Finally, it looks at current challenges and future directions in drone system development, emerging technologies, and future research topics in the area. This paper concludes by highlighting some key challenges that need to be addressed before widespread adoption of drone technologies in everyday life can occur. By summarizing an up-to-date survey on the state of the art in copter drone technology, this paper will provide valuable insights into where this field is heading in terms of progress and innovation.
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Affiliation(s)
- Janis Peksa
- Information Technologies Department, Turiba University, Graudu Street 68, LV-1058 Riga, Latvia;
- Institute of Information Technology, Riga Technical University, Kalku Street 1, LV-1658 Riga, Latvia
| | - Dmytro Mamchur
- Information Technologies Department, Turiba University, Graudu Street 68, LV-1058 Riga, Latvia;
- Computer Engineering and Electronics Department, Kremenchuk Mykhailo Ostrohradskyi National University, Universitetska Street 20, 39600 Kremenchuk, Ukraine
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Lai YH. Multi-ethnic computational thinking and cultural respect in unmanned aerial vehicle-assisted culturally responsive teaching. Front Psychol 2023; 14:1098812. [PMID: 36968711 PMCID: PMC10036568 DOI: 10.3389/fpsyg.2023.1098812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/20/2023] [Indexed: 03/12/2023] Open
Abstract
IntroductionAs education systems worldwide begin to accept and implement computational thinking, the educators of both elementary and higher education are considering the cultivation of students’ computational thinking abilities. It is hoped that students effectively analyze and deconstruct all kinds of complex issues with computational thinking, and seek computer-executable ways to solve real-world problems. Through the integration of program education, students can learn and develop the abilities to practically apply their theoretical learning in information technology education. With the promotion of the concept of multicultural education, an increasing number of educational arenas are gradually introducing the concept of multicultural education to inculcate in students respect for different ethnic cultures via multicultural integration.MethodsIn this study, unmanned aerial vehicle (UAV) technology was used to introduce culturally responsive teaching. The objective was to build a UAV-assisted culturally responsive teaching environment for multi-ethnic students that is based on their different thinking mechanisms formed by their respective cultures and living environments. Multi-ethnic students can attempt to solve problems employing computational thinking that is implemented when programing to control UAV. With the influence of culturally responsive teaching, the UAV-assisted learning strategies helped students and teachers of multi-ethnic groups understand different cultures and learn through mutual aid and cooperation.Results and DiscussionThis study discussed the computational thinking abilities via different dimensions: logical thinking, programming ability, and cultural respect. The results showed that the introduction of UAV-assisted culturally responsive teaching method benefits not only indigenous students. For Han Chinese students as well, owing to the influence of cultural understanding, their overall learning effectiveness and cultural respect will be strengthened. Thus, this method improves the learning effectiveness in programming of multi-ethnic students, as well as of students with weaker prior programming ability. The method can also enhance the cognition and comprehension of different cultures in multicultural education.
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Luque-Vega LF, Lopez-Neri E, Arellano-Muro CA, González-Jiménez LE, Ghommam J, Saad M, Carrasco-Navarro R, Ruíz-Cruz R, Guerrero-Osuna HA. UAV-Based Smart Educational Mechatronics System Using a MoCap Laboratory and Hardware-in-the-Loop. SENSORS (BASEL, SWITZERLAND) 2022; 22:5707. [PMID: 35957267 PMCID: PMC9370916 DOI: 10.3390/s22155707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 06/15/2023]
Abstract
Within Industry 4.0, drones appear as intelligent devices that have brought a new range of innovative applications to the industrial sector. The required knowledge and skills to manage and appropriate these technological devices are not being developed in most universities. This paper presents an unmanned aerial vehicle (UAV)-based smart educational mechatronics system that makes use of a motion capture (MoCap) laboratory and hardware-in-the-loop (HIL) to teach UAV knowledge and skills, within the Educational Mechatronics Conceptual Framework (EMCF). The macro-process learning construction of the EMCF includes concrete, graphic, and abstract levels. The system comprises a DJI Phantom 4, a MoCap laboratory giving the drone location, a Simulink drone model, and an embedded system for performing the HIL simulation. The smart educational mechatronics system strengthens the assimilation of the UAV waypoint navigation concept and the capacity for drone flight since it permits the validation of the physical drone model and testing of the trajectory tracking control. Moreover, it opens up a new range of possibilities in terms of knowledge construction through best practices, activities, and tasks, enriching the university courses.
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Affiliation(s)
- Luis F. Luque-Vega
- Centro de Investigación, Innovación y Desarrollo Tecnológico CIIDETEC-UVM, Universidad del Valle de México, Tlaquepaque 45604, Jalisco, Mexico; (L.F.L.-V.); (E.L.-N.)
| | - Emmanuel Lopez-Neri
- Centro de Investigación, Innovación y Desarrollo Tecnológico CIIDETEC-UVM, Universidad del Valle de México, Tlaquepaque 45604, Jalisco, Mexico; (L.F.L.-V.); (E.L.-N.)
| | - Carlos A. Arellano-Muro
- Research Laboratory on Optimal Design, Devices and Advanced Materials—OPTIMA, Department of Mathematics and Physics, ITESO, Tlaquepaque 45604, Jalisco, Mexico; (C.A.A.-M.); (R.C.-N.); (R.R.-C.)
| | | | - Jawhar Ghommam
- Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Al-Khod, Muscat 123, Oman;
| | - Maarouf Saad
- Department of Electrical Engineering, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada;
| | - Rocío Carrasco-Navarro
- Research Laboratory on Optimal Design, Devices and Advanced Materials—OPTIMA, Department of Mathematics and Physics, ITESO, Tlaquepaque 45604, Jalisco, Mexico; (C.A.A.-M.); (R.C.-N.); (R.R.-C.)
| | - Riemann Ruíz-Cruz
- Research Laboratory on Optimal Design, Devices and Advanced Materials—OPTIMA, Department of Mathematics and Physics, ITESO, Tlaquepaque 45604, Jalisco, Mexico; (C.A.A.-M.); (R.C.-N.); (R.R.-C.)
| | - Héctor A. Guerrero-Osuna
- Posgrado en Ingeniería y Tecnología Aplicada, Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Zacatecas, Mexico
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Gu C, Sun J, Chen T, Miao W, Yang Y, Lin S, Chen J. Examining the Influence of Using First-Person View Drones as Auxiliary Devices in Matte Painting Courses on College Students’ Continuous Learning Intention. J Intell 2022; 10:jintelligence10030040. [PMID: 35893271 PMCID: PMC9326556 DOI: 10.3390/jintelligence10030040] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 06/28/2022] [Accepted: 07/02/2022] [Indexed: 02/01/2023] Open
Abstract
In terms of the teaching process of matte painting, it is essential for students to develop a sound understanding of the relationship between virtual and physical environments. In this study, first-person view (FPV) drones are applied to matte painting courses to evaluate the effectiveness of the teaching, and to propose more effective design suggestions for FPV drones that are more suitable for teaching. This provides students with a better learning environment using a digital education system. The results of the study indicate that the flow experience, learning interest, and continuous learning intention of students who use FPV drones in matte painting are significantly greater than those of students who only utilize traditional teaching methods. Furthermore, the technology incentive model (TIM) was developed in this study after being verified by the structural equation model. The results demonstrate that the second-order construct ‘technology incentive’ comprising perceived interactivity, perceived vividness, and novel experience positively influence students’ learning interest and continuous learning intentions under the mediation of flow experience.
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Affiliation(s)
- Chao Gu
- Department of Culture and Arts Management, Honam University, Gwangju 62399, Korea; (C.G.); (J.S.)
| | - Jie Sun
- Department of Culture and Arts Management, Honam University, Gwangju 62399, Korea; (C.G.); (J.S.)
| | - Tong Chen
- Michael Smurfit Graduate Business School, University College Dublin, D04 V1W8 Dublin, Ireland;
| | - Wei Miao
- School of Textile Garment and Design, Changshu Institute of Technology, Changshu 215500, China;
| | - Yunshuo Yang
- College of Foreign Languages and Cultures, Xiamen University, Xiamen 361005, China;
| | - Shuyuan Lin
- Department of Media Design, Tatung University, Taipei 104, Taiwan;
| | - Jiangjie Chen
- School of Design, Jiangnan University, Wuxi 214122, China
- Correspondence:
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