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Eva is an Unmanned Aerial Vehicle capable of locating a known object on a controlled environment.

Object location information is sent to Wall-E autonomous robotic arm.

Both projects are part of The "Autonomous Vehicles for Search and Recognition" investigation leaded by the IEEE Student Branch of Granada and Asociación Electrial.

The mission of the experiment is to develop some autonomous systems capable of detecting specific objects and moving them. For that, the team decides to develop two different autonomous vehicles, an UAV to have a better visual recognition and a movable robotic arm to catch the localized objects. That means that both vehicles have to communicate between themselves and to minimize their movements to improve their energy efficiency.

It is necessary to have a control center based on a computer to communicate to both vehicles if needed and to send the description of the object to the robotic arm to localize it.

To simplify the project, we choose beverage cans with different colors as objects to localize in a controlled area.

In brief, the drone has the mission of finding the object and the robotic arm has to catch it and bring it back to the control center.

Before starting to work on Eva we recommend to watch the videos from AUTONAVx edX Course.

The Drone project members are:

• [Rafael Bailón Ruiz] (https://github.com/rafael1193)
• [Mustapha Bouziane] (https://github.com/Mus-B)
• [Javier Vargas] (https://github.com/javivarguitas)

Former project members:

• Sulaimane Mezzouji
• Benito Palacios Sánchez
• Jesús Rodríguez Venzal
• Sergio Rodríguez Venzal