Tutor: Eduardo Ferrera
Nowadays, mobile robots are used in many applications, such as rescue missions, surveillance or people assistance. In these applications, robots usually need to operate in unknown environments, so they need to obtain information with their sensors and take intelligent decisions. In general, they proceed in a loop with several steps:
- Information is obtained with the sensors on board the robot.
- Given the current information the best decision is made.
- The decision is carried out by the robot autonomously.
Mainly, mobile robots need to know where they are located and how to navigate safely to other places. For that, they have to use external sensors (e.g., GPS, compass, laser, etc.), plan trajectories, avoid obstacles, etc.
The objectives of this seminar are to learn about different robotic issues and learn how to present this scientific knowledge. In particular, the following issues will be covered by this seminar:
- Obstacle avoidance.
- Path planning.
- Indoor localization.
- Outdoor localization.
- Map building.
- Collision avoidance for UAVs.
- Visual-based navigation.
- Formation control for UAVs.
This seminar is suitable for bachelor and master students and it will be taught in English. It cannot be chosen by master AI-SE students. Once every two weeks the students need to select one of the proposed topics and perform a short research in the field, write a report and prepare an oral presentation to demonstrate the acquired knowledge. If you want to participate in this seminar or for further information, please contact Eduardo Ferrera (email@example.com).
The kickoff meeting for this seminar will take place in Room S-A 126, from 14:00h to 16:00h, on Thursday, April 14th, 2016. It is mandatory to attend this meeting in order to participate in the seminar.
Entry in LSF: Seminar