Abstract. Basketball has grown into an international sport played and watched by millions of people. This paper describes the implementation of a virtual basketball accelerator. The main purpose of our study was to devise an application that could literary help players in practicing a free throw game indoors. In the development of this project we used Matlab, XVR and 3ds Max. The Matlab trajectory is simulated considering the development of a realistic behavior. The data acquisition from the trackers is adapted both for magnetic and optical markers, therefore extending its usability. The coordinates are then sent via UDP to the XVR environment, which draws the moving parts accordingly. The overall performance is improved by paying a great deal of attention to details.

This paper proposes a new method of collaboration within a team of twoindividual NAO robots that should execute together a complex operation. The Naorobots are developed so as not only to act individually, but also to cooperatewith other robots if they cannot accomplish the operation alone. This paperpresents a case study demonstrating the integration of the humanoid roboticsplatform Nao within a cooperation application. This specific scenario ofinterest takes place in a small simulated manufacturing environment; while thetask being the storage of a big object, with different shape and weight. Thisscenario is used to observe the impact and performance that this particularteam of humanoid robots has in an industrial environment.Finally we present the successful implementation of robot – robot cooperationcapabilities inspired by human behaviour.

Part 7: Smart SystemsInternational audienceThis paper evaluates a hybrid neurophysiological interface for controlling a virtual smart home. Electrooculography (EOG) and Electroencephalography (EEG) techniques are used for recording biosignals from the user’s body. The signals are further analyzed and translated into commands for controlling a virtual smart home. The purpose of the study was the evaluation of the implemented interface and the rejection of a set of possible erroneous commands generated by the interface. From a main menu the user is able to select a mask that will reveal a second menu with supplementary commands. The user has the option to cancel the propagation of an erroneous selected mask in the system by selecting another item from the main menu

In this paper we present a general structure of an automatic task planner for a multirobot system. Our focus in this paper is to develop an intelligent complex task planning system that uses both model and case - based approach, while trying to come up with actions that support end goals. We provide an overall description of the proposed system and its integration in an implemented architecture.

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