Abstract
The European funded ECHORD project1 European Clearing House for Open Robotics Development began in January 2009 with the ambitious goal of bringing together European robotics manufacturers with the excellent European research institutions. Europe has a very strong robot industry and there is significant research potential as well as technological knowledge. There has been a long history of outstanding research and development in both robot manufacturers and research institutes. However, finding common ground between manufacturers and the research community, especially when it comes to defining the future direction of robotics research, has proven difficult in the past. This is one of the recurring themes on both sides, and a new level of cooperation is long overdue. Thus, ECHORD acted as a clearing house to streamline successful know-how transfers. The research leading to the results presented in this book has received funding from the European Union through the 7th Framework Programme (FP7) under grant agreement number FP7-ICT-231143. © Springer International Publishing Switzerland 2014.

Abstract
The aim of the present work was to evaluate the possibility of using zinc-air batteries in intraoral medical devices. We analyzed the electrical behavior of zinc-air batteries when submitted to different levels of temperature, humidity, and limited quantities of air. The experimental setup was divided in three different parts. Firstly, a set of batteries were tested within a climatic chamber and subjected to discharging tests similar to those recommended by the manufacturer. The climatic chamber allowed an accurate variation of humidity and temperature. Secondly, the batteries were placed in a small prototype of intraoral medical device and tested in the absence of air. Lastly, we used a robot arm to repeatedly immerse the prototype in artificial saliva. The results obtained demonstrated the viability of zinc-air batteries as a power solution for intraoral medical devices, as they tolerate high levels of humidity and are capable of working with limited quantities of air. In addition, this kind of battery presents a volume to electrical capacity ratio more than three times higher than lithium batteries, which may open important improvement for powered medical devices.

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The performance of multi-objective evolutionary algorithms (MOEA) is severely deteriorated when applied to many-objective problems. For Pareto dominance based techniques, available information about optimal solutions can be used to improve their performance. This is the case of corner solutions. This work considers the behaviour of three multi-objective algorithms (NSGA-II, SMPSO and GDE3) when corner solutions are inserted into the population at different evolutionary stages. Corner solutions are found using specific algorithms. Preliminary results are presented concerning the behaviour of the aforementioned algorithms in five benchmark problems (DTLZ1-5).