Summer School 2011 Event Flyer

The Quantitative Methodologies in Policy and Practice for Child Health and Wellbeing Summer School is organised by the Children’s Research Network for Ireland and Northern Ireland in conjunction with TCD School of Nursing & Midwifery. The Children’s Research Network for Ireland and Northern Ireland is a not for profit membership-based organization which supports the research community to better understand and improve the lives of children and young people, by creating and maintaining an inclusive, independent network through which  information, knowledge, experience, learning and skills can be shared. Membership to the network facilitates access to workshops, summer schools, and events focused on children’s research. The Summer School is funded by the Department of Children and Youth Affairs.

Knowledge integration within an applied mobile robot summer course

This paper presents the use of a mobile robot platform as an innovative educational tool in order to promote and integrate different curriculum knowledge. Hence, it is presented the acquired experience within a summer course named ldquoapplied mobile roboticsrdquo. The main aim of the course is to integrate different subjects as electronics, programming, architecture, perception systems, communications, control and trajectory planning by using the educational open mobile robot platform PRIM. The summer course is addressed to a wide range of student profiles. However, it is of special interests to the students of electrical and computer engineering around their final academic year. The summer course consists of the theoretical and laboratory sessions, related to the following topics: design & programming of electronic devices, modelling and control systems, trajectory planning and control, and computer vision systems. Therefore, the clues for achieving a renewed path of progress in robotics are the integration of several knowledgeable fields, such as computing, communications, and control sciences, in order to perform a higher level reasoning and use decision tools with strong theoretical base

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