Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution

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Gaussian Process for RSS-based Localisation

Localisation making use of Wi-Fi Signal Strength is a well established research strand, where various approaches have been proposed by the community. In our work we focus on the problem of localizing a device by considering the Received Signal Strength (RSS) of signals the device receives from the wireless access points around it. We propose a two-parts localization method that makes use of the Gaussian Process technique to interpolate signal vectors received during a training phase in order to estimate the unknown position of the device during test. The proposed method has been tested on four publicly available databases proposed by other authors. The comparison with their results shows the superior performance of our novel approach

A Videosurveillance data browsing software architecture for forensics: From trajectories similarities to video fragments

The information contained in digital video surveillance repositories can present relevant hints, when not even legal evidence, during investigations. As the amount of video data often forbids manual search, some tools have been developed during the past years in order to aid investigators in the look up process. We propose an application for forensic video analysis which aims at analysing the activities in a given scenario, particularly focusing on trajectories followed by people and their visual appearances. The recorded videos can be browsed by investigators thanks to a user-friendly interface, allowing easy information retrieval, through the choice of the best mining strategy. The underlying application architecture implements different feature and query models as well as query optimization strategies in order to return the best response in terms of both efficacy and efficiency

Representative examples of implementing educational robotics in school based on the constructivist approach

Educational Robotics (ER) is a powerful technology which combines both constructing and programming a robot model. As such it can address teaching objectives from a wide range of disciplines from computer science and technology to design, mathematics and science education. Additionally ER has strong experimental characteristics which can effectively support innovative constructivist approaches to teaching and learning. In this paper we focus on the design of robotics enhanced activities emphasizing the main constructivist principles adopted. Secondly we illustrate these aspects through some representative examples

Teacher Education on Robotics-Enhanced Constructivist Pedagogical Methods

This book is a collective product coming from the cooperative and shared work done by the TERECoP partnership during the 3 years of the project. It is addressed mainly to teachers at all school levels who are interested in introducing Robotics in Science, Technology, Mathematics and Informatics classes or in the frame of interdisciplinary learning activities, and moreover to trainers of teachers offering them a constructivist model for training teachers inb educational robotics