|This research line is related with control and navigation of Unmanned Aerial Systems (UAS). In particular, we focus in the popular quadcopter implementation. Our aim is to provide a high degree of autonomy to the quadcopter, so that it is able to flight through a (probably unknown) scenario, in order to perform some high level mission.
We employ the Matlab/Simulink software for modeling and simulating the quadcopter. This work environment also allows us to design and to test path planning and following mechanisms beyond the state-of-the-art. Furthermore, we rely on the ROS/Gazebo platform, which provides a more realistic simulation environment. As a complementary task, we address the processing of the information gathered by the onboard sensors and cameras, by having in mind the final IoT aplication.
- UAS modeling and simulation
- UAS automatic navigation
- Processing of gathered information
- Finalists of the “Mission on Mars Robot Challenge 2016” competition, organized by MathWorks.
- Techniques to improve the architecture of servers, applications and services.
We develop research on chip-multicore architecture and on-chip networks, aiming at increasing performance, reducing power consumption, increasing reliability by means of providing fault-tolerance support, increasing flexibility through virtualization techniques, and reducing silicon area.
|Rafael Casado, PhD
Phone number: +34 967 599200 – Ext. 2279
|Aurelio Bermúdez, PhD
Phone number: +34 967 599 200 – Ext. 2551