Abstract
This paper presents the evaluation of a serious game project, where the primary goal was to develop a set of collaborative game levels on a virtual campus, in order to help the integration process of newcomer students to the university. The global activities that can be performed by the students were designed for a group approach in a controlled virtual environment. For the present work we have selected Second Life for the implementation of these collaborative "game levels". A prototype evaluation was conducted to collect results with a sample of university students. With this data, some conclusions were extracted in order to delineate future developments.

Abstract
The development platform of a digital game is frequently defined before any game design document. Without a proper examination, this could exclude other viable solutions. Although the online virtual world Second Life is sometimes erroneously denominated a game, it can be used as a development platform for many purposes. This paper analyses game creation within the Second Life virtual world and possible approaches for the implementation of game assets and game logic. There is also an analysis of what game types could be more suited for development under this platform. Experiences learned from the developed prototype are shown and hints are given as to evaluate different techniques and expose best practices. © 2011 AISTI.

Abstract
In this paper it is presented a new robot competition that is going to be included in Robotica 2011, the main Robotics Portuguese Competition. The robot competition takes place in an emulated factory plant, where Automatic Guided Vehicles (AGVs) must cooperate to perform tasks. To accomplish their goals the AGVs must deal with localization, navigation, scheduling and cooperation problems, that must be solved autonomously. One option of prototyping the AGVs is the use of the Lego Mindstorms NXT technology. The presented example can play an important role in education due to the inherent multi-disciplinary concepts that are involved, motivating students to technological areas. It also plays an important role in research and development, because it is expected that the outcomes that will emerge here, will later be transfered to other application areas, such as service robots and manufacturing. © 2011 IFAC.

Abstract
Nowadays,it is far more common to see mobile robotics working in the industrial sphere due to the mandatory need to achieve a new level of productivity and increase profits by reducing production costs. Management scheduling and task scheduling are crucial for companies that incessantly seek to improve their processes, increase their efficiency, reduce their production time and capitalize on their infrastructure by increasing and improving production. However, when faced with the constant decrease in production cycles, management algorithms can no longer solely focus on the mere management of the resources available, they must attempt to optimize every interaction between them, to achieve maximinn efficiency for each production resource. In this paper we focus on the presentation of the new competition called Robot Factory, its environment and its main objectives, paying special attention to the scheduling algorithm developed for this specific case study. The findings from the simulation approach have allowed us to conclude that mobile robotic path planning and the scheduling of the associated tasks represent a complex problem that has a strong impact on the efficiency of the entire production process.

Abstract
This paper describes a novel approach in formation control for mobile robots. Here, a Nonlinear Model Predictive Controller (NMPC) is used to maintain the formation of three omnidirectional mobile robots. The details of the controller structure are presented as well as its functionality in a soccer robot team. Three Middle Size League Robots are used for evaluation. A case of study based in a soccer robot situation is presented, developed, and implemented to evaluate the performance of the controller. Simulations results are presented and discussed.

Abstract
This paper describes a novel approach in formation control for mobile robots. A Nonlinear Model Predictive Controller (NMPC) is used to control the formation of a heterogeneous mobile robots group. The desired formation is formed by an holonomic robot and a nonholonomic robot. The same nonlinear controller is used in both robots with the same cost function. The details of the controller structure are presented in order to track a fixed target departing from different positions in the field avoiding collisions with each other. A soccer robot competition field is used to present the simulations to evaluate the performance of the controller. © 2012 Springer-Verlag Berlin Heidelberg.