CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Operaciones de enjambre en DEE

Estudiants que han llegit aquest projecte:

Director/a: VALERO GARCÍA, MIGUEL

Departament: DAC

Títol: Operaciones de enjambre en DEE

Data inici oferta: 16-02-2023     Data finalització oferta: 16-10-2023


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Segon director/a (UPC): MESEGUER PALLARÈS, ROC
 
Paraules clau:
Drone Engineering Ecosystem, Drone, Python, Autopilot, ArduPilot, MAVLink
 
Descripció del contingut i pla d'activitats:
 
Overview (resum en anglès):
This document presents the key results and contributions of a project aimed at enhancing the DEE (Drone Engineering Ecosystem) environment developed by our school's community. The project focuses on three main areas of improvement and development within DEE.

1. Repository Updates and Enhancements:
Significant updates were made to the repositories hosting the DEE environment. These updates not only improved the overall stability and efficiency of the system but also made it more accessible and collaborative for the user community. The repository updates provide a solid foundation for future innovations and contributions.

2. Implementation of Swarm Operations:
One of the project's standout contributions was the successful implementation of swarm operations within one of the existing services in DEE. This addition allowed for effective coordination and real-time collaboration among multiple drones, being the first service in the environment to do so.

3. Development of a Drone Racing Game:
The third pillar of the project involved the development of a multiplayer drone racing game in the style of pursuit. The premise of the game is to offer users the opportunity to engage in thrilling races with two or more players, providing an interactive and entertaining experience within the DEE environment. However, unfortunately, this contribution could not be completed within the project's timeframe due to time constraints.

In summary, this work represents a significant advancement in expanding and improving the DEE environment. Repository updates, the implementation of swarm operations, and the development of the drone racing game enrich the platform, opening up new opportunities for research and experimentation in the field of autonomous systems and robotics, although the third contribution could not be finished at this stage of the project.

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