References
- Veyna, U., Garcia-Nieto, S., Simarro, R., Salcedo, J.V. (2021). Quadcopters Testing Platform for Educational Environments. Sensors 2021, 21, 4134. https://doi.org/10.3390/s21124134
- Petrovič, P., Verčimák, P. (2024). Using programmable drone in educational projects and competitions. arXiv preprint arXiv:2402.17409.
- Abichandani, P., Lobo, D., Dimitrijevic, B., Borgaonkar, A., Sodhi, J., Kabrawala, S., Brateris, D. and Kam, M., (2024). Competition-based active learning instruction for drone education. Interactive Learning Environments, 32(5), pp.1795-1813
- Chatzopoulos, A., Xenakis, A., Papoutsidakis, M., Kalovrektis, K., Kalogiannakis, M., Psycharis, S. (2024, May). Proposing and Testing an Open-Source and Low-Cost Drone under the Engineering Design Process for Higher Education: The Mechatronics Course Use Case. In 2024 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-7). IEEE.
- Kotarski, D., Piljek, P., Pranjić, M., Grlj, C. G., & Kasać, J. (2021). A modular multirotor unmanned aerial vehicle design approach for development of an engineering education platform. Sensors, 21(8), 2737.
- Shadiev, R., Yi, S. (2023). A systematic review of UAV applications to education. Interactive Learning Environments, 31(10), 6165-6194.
- Yeung, R. C. Y., Yeung, C. H., Sun, D., Looi, C. K. (2024). A systematic review of Drone integrated STEM education at secondary schools (2005–2023): Trends, pedagogies, and learning outcomes. Computers & Education, 104999.
- Sueda, K., Yamazaki, A. K., Nomura, M., Sakamoto, M., Kato, Y., Hosaka, M. (2021). Open Source-Based UAVs for STEAM Education: Some Case Studies. International Journal of Learning and Teaching, 202-206.
- Arun Sampaul Thomas, G., Muthukaruppasamy, S., Sathish Kumar, S., Karthikeyan, B.J. and Saravanan, K., (2025). Navigating the Nexus: Unravelling Challenges, Ethics, and Applications of Embodied AI in Drone Technology Through the Lens of Computer Vision. In Building Embodied AI Systems: The Agents, the Architecture Principles, Challenges, and Application Domains (pp. 61-78). Cham: Springer Nature Switzerland.
- Rezwan, S. and Choi, W., (2022). Artificial intelligence approaches for UAV navigation: Recent advances and future challenges. IEEE access, 10, pp.26320-26339.
- Kassas, Z.M., Closas, P. and Gross, J., (2019). Navigation systems panel report navigation systems for autonomous and semi-autonomous vehicles: Current trends and future challenges. IEEE Aerospace and Electronic Systems Magazine, 34(5).
- Raman, A.T., Krovi, V.N. and Schmid, M.J., (2018), August. Empowering graduate engineering students with proficiency in autonomy. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 51807, p. V05AT07A080). American Society of Mechanical Engineers.
- Peksa, J., Mamchur, D. (2024). A Review on the State of the Art in Copter Drones and Flight Control Systems. Sensors, 24(11), 3349. https://doi.org/10.3390/s24113349
- Adeleke, O., Ojekanmi, O., Seidu, I. (2021). Development and performance evaluation of a quadcopter. International Journal of Advanced Engineering and Management, 3, 1116.