Abstract
Simulation tools have gained an important role in scientific, academic and even business communities, allowing for time- and cost-effective research and development of solutions, more appealing training and learning activities or providing better tools for decision support. This is particularly true in the aviation and aeronautical areas. In this paper, we compare different control strategies for specified high-level maneuvers in aircraft within a simulation environment, each aircraft represented by an independent agent, focusing on communication necessities and maneuver effectiveness. A brief overview on the project's overall architecture and an outline of structured experiences, also known as missions, available within the simulator, show the potentials of the platform for the more comprehensive goals of this project, allowing the definition and execution of cooperative missions by a team of agents, such as surveillance and search & rescue operations.

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Intermodal interfaces are extremely important for the transportation system as a whole. Therefore, designing and dimensioning airport terminals' curbsides are major steps to improve passengers' experience. Indeed, evaluating such design is a critical task that must be performed to point out the best solution. This paper reports our modeling, implementing, and evaluating two curbside scenarios: one as currently applied to the Portela Airport, in Lisbon, and another alternative as proposed by a Transport Consultancy Agency. Our contribution results in the creation of a broader methodology to evaluate various scenarios, in addition to determining the best scenario between the ones presented and discussed in this paper. Some preliminary experiments are carried out, whose results are presented and discussed so as to compare their efficiency. Finally, we draw some conclusions and point out ways in which this work can be further extended.

Abstract
Many of the physically injured use electric wheelchairs as an aid to locomotion. Usually, for commanding this type of wheelchair, it is required the use of one's hands and this poses a problem to those who, besides being unable to use their legs, are also unable to properly use their hands. The aim of the work described here, is to create a prototype of a wheelchair command interface that do not require hand usage. Facial expressions were chosen instead, to provide the necessary visual information for the interface to recognize user commands. The facial expressions are captured by means of a digital camera and interpreted by an application running on a laptop computer on the wheelchair. The software includes digital image processing algorithms for feature detection, such as colour segmentation and edge detection, followed by the application of a neural network that uses these features to detect the desired facial expressions. A specific command language for controlling the intelligent wheelchair was also developed in the scope of this work, as well as a simple wheelchair simulator for validating the final results.

Abstract
This paper presents a robust vision system based on semi-automatic color calibration, color segmentation and image high-level analysis for quadruped soccer playing robots. The algorithms presented were used in the context of FC Portugal legged league team that participated since 2003 in RoboCup - Robotic Soccer World Championship. Controlled experiments with variable lightning conditions are analyzed in order to conclude the robustness of our vision system.