International Journal of Advanced Engineering Application

Aerial Robot

Author(s):Hitarth Gahlot1 Maaz Alam2 Minakshi Sanadhya3

Affiliation: 1,2,3SRM Institute of Science and Technology NCR Campus, Ghaziabad, India

Page No: 28-33

Volume issue & Publishing Year: Volume 2 Issue 5 ,May-2025

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

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Abstract:
This project focuses on the design and implementation of aerial robot intended for efficient delivery operations. The
drone is equipped with a robust navigation system and a payload compartment, allowing it to carry and deliver small
packages over short to medium distances. The system is operated via a user-friendly interface, ensuring that the
operator can guide the drone with precision in urban or rural environments. The drones real-time video feedback and
telemetry data enhance operational control, ensuring safe navigation around obstacles and through varying weather
conditions. This project explores the potential of manually controlled drones to enhance delivery services, particularly
in areas with limited access or congested urban environments, where traditional delivery methods are less effective. The
focus is on ensuring timely, reliable, and secure delivery, minimizing human labor, and reducing the costs associated
with conventional transportation. The project demonstrates how aerial robots can be integrated into existing delivery
infrastructure to provide an efficient, scalable solution for modern logistics challenges. By combining advanced
technologies, such as real-time video feeds and accurate telemetry, with the ability to operate in diverse environments,
this research demonstrates how drones can complement existing delivery systems. The focus is on delivering packages
efficiently while addressing challenges like congestion, accessibility, and last-mile delivery in urban areas. Ultimately,
this project showcases the potential for aerial robots to revolutionize logistics, offering a reliable, cost-effective, and
timely solution for various industries, including e-commerce, healthcare, and emergency services

Keywords: aerial robots, robust navigation system, payload compartment, delivering packages, transportation.

Reference:

• [1] Anderson, R. (2021). Innovations in urban logistics: The rise of drone delivery. Logistics Journal, 15(3), 45-60.
• [2] Brown, M. (2019). Aerial robotics and their impact on e-commerce logistics. Technology & Business Review, 12(4),
• 78-92.
• [3] Chen, L., & Lopez, H. (2021). Advancements in drone navigation: LiDAR and AI integration. Robotics and
• Automation, 29(2), 112-130.
• [4] Davis, P. (2020). Ensuring package security in autonomous delivery drones. International Journal of Transport
• Engineering, 34(1), 56-74.
• [5] Garcia, D., Kim, S., & Patel, R. (2023). Autonomous drone technology: Enhancing delivery systems in urban spaces.
• Smart Transport Solutions, 18(1), 22-39.
• [6] Gupta, L., Jain, R., & Vaszkun, G. (2021). Survey of important issues in UAV communication networks. IEEE
• Communications Surveys & Tutorials, 19(1), 112-124.
• [7] Lin, Y., Zhang, F., & Wang, C. (2019). UAV-based delivery systems: A review of regulatory, technical, and
• operational challenges. Journal of Aerospace Engineering, 32(3), 1-15.
• [8] Kim, D., Lee, J., & Park, H. (2020). Advanced attitude control techniques for UAVs: A comparative analysis. IEEE
• Transactions on Aerospace and Electronic Systems, 56(3), 2340-2352.
• [9] Chen, J., Wang, L., & Zhang, Y. (2021). Optimizing UAV delivery time using real-time data analytics. IEEE
• Transactions on Intelligent Transportation Systems, 22(8), 4843-4856.
• [10] Shakhatreh, H., Sawalmeh, A., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., & Guizani, M. (2019). Unmanned
• aerial vehicles (UAVs): A survey on civil applications and key research challenges. IEEE Access, 7, 48572-48634.