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Abstract. This paper proposes two paradigms for controlling a robotic arm by integrating Electrooculography (EOG) and Electroencephalography (EEG) recording techniques. The purpose of our study is to develop a feasible paradigm for helping disabled persons with their every-day needs. Using EOG, the robotic arm is placed at a desired location and, by EEG, the end-effector is controlled for grasping the object from the selected location. Simple algorithms were implemented for detecting electrophysiological signals like eye saccades, blinking and eye closure events. Preliminary results of this study are presented and compared.

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The aim of the article is to present preliminary results obtained by analysis of the behavior patterns of various driver subjects, in the context of an intelligent assistive driving system. We determined the parameters which are involved in determining the car driver's interaction intent, and extracted features of interest from various measured parameters of the driver, car, and the environment. We discuss how threshold values can be obtained for the extracted features that can be part of rules to decide on specific interaction intents. The results obtained in this paper will be incorporated in a knowledge base to define the rules of an rule-based expert system that will predict in realtime the driver's interaction intent, in order to enhance the safe driving experience.

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Virtual Reality (VR) is one of the newest technological domains with revolutionary applicability for the tomorrow's Future Internet, including visions of the Internet of Things. The sensation of total immersion in Virtual Environment (VE) is still unresolved. Therefore, our work proposes a new omnidirectional locomotion interface for navigation in VEs. The novel interface was built from an ordinary unidirectional treadmill, a new mechanical device, a motion capturing system to track the human walking and a control method using artificial intelligence techniques. A neural network is used to predict the motion of the new interface based on user's body motion and information about VE. The feasibility of the proposed system is verified through experiments and the preliminary results suggest that the new interface performs very well in a simplest VE based on our control method.

Robots have a continuous increasingly role in today's society as they have stepped in the human environment in order to better fulfil demanding and complex tasks. A novel mobile robot system based on ubiquitous computing technologies is proposed to address two fundamental problems in the field of robotics, i.e. the interaction between human and robot and navigation in the workspace environment. A preliminary test scenario shows a friendly, portable and universal robot system which combines the advantages of ubiquitous computing and of efficient interaction and navigation algorithms based on artificial intelligent methods.