
This project focuses on the design and implementation of aerial robot intended for efficient delivery operations. Thedrone is equipped with a robust navigation system and a payload compartment, allowing it to carry and deliver smallpackages over short to medium distances. The system is operated via a user-friendly interface, ensuring that theoperator can guide the drone with precision in urban or rural environments. The drones real-time video feedback andtelemetry data enhance operational control, ensuring safe navigation around obstacles and through varying weatherconditions. This project explores the potential of manually controlled drones to enhance delivery services, particularlyin areas with limited access or congested urban environments, where traditional delivery methods are less effective. Thefocus is on ensuring timely, reliable, and secure delivery, minimizing human labor, and reducing the costs associatedwith conventional transportation. The project demonstrates how aerial robots can be integrated into existing deliveryinfrastructure to provide an efficient, scalable solution for modern logistics challenges. By combining advancedtechnologies, 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 packagesefficiently 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, andtimely solution for various industries, including e-commerce, healthcare, and emergency services
aerial robots, robust navigation system, payload compartment, delivering packages, transportation.
aerial robots, robust navigation system, payload compartment, delivering packages, transportation.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
