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The development of a robotics project, in which students and teachers from different areas of knowledge participate, is an opportunity to develop transversal skills in university studies. When this project is motivated by participation in an international robotics contest, such as EUROBOT, the motivation of students is greater. This article presents the organization of the teaching innovation project in which the activity is framed, as well as the successful results after two years of implementation.

This paper deals with the stability analysis of a Cooperative Adaptive Cruise Control system (CACC) in a convoy of vehicles, in order to solve traffic congestion. The differences between the Adaptive Cruise Control (ACC) and its cooperative version will be studied from the string stability point of view, highlighting the advantages of adding Vehicle-to-Vehicle (V2V) communications. The system will be tested in simulation using MATLAB/Simulink for a convoy of three vehicles and, after that, the control system will be translated to real experimentation for a convoy of three Pioneer robots.

This paper presents a multi-robot mapping and localization system. Learning maps and efficient exploration of an unknown environment is a fundamental problem in mobile robotics usually called SLAM (simultaneous localization and mapping problem). Our approach involves a team of mobile robots that uses Scan-Matching and Fast-SLAM techniques based on scan-laser and odometry information for mapping large environments. The single maps generated for each robot are more accurate than the maps generated only by odometry. When a robot detects another, it sends its processed map and the master robot generates a very accurate global map. This method cuts down the global map building time. Some experimental results and conclusions are presented. Comunidad de Madrid and the University of Alcalá, support through the projects RoboCity2030 (CAM-S-0505/DPI/000176) and SLAM-MULEX (CCG07-UAH/DPI-1736).