Turchetti G.,SSSA |
Spadoni E.,Center for Research in Microengineering |
Geisler E.,Illinois Institute of Technology
IEEE Engineering in Medicine and Biology Magazine | Year: 2010
This article describes health technology assessment (HTA) as an evaluation tool that applies systematic methods of inquiry to the generation and use of health technologies and new products. The focus of this article is on the contributions of HTA to the management of the new product development effort in the biomedical organization. Critical success factors (CSFs) are listed, and their role in assessing success is defined and explained. One of the conclusions of this article is that HTA is a powerful tool for managers in the biomedical sector, allowing them to better manage their innovation effort in their continuing struggle for competitiveness and survival. © 2006 IEEE.
Fu G.,Center for Research in Microengineering |
Corradi P.,Center for Research in Microengineering |
Menciassi A.,Center for Research in Microengineering |
Dario P.,Center for Research in Microengineering
IEEE/ASME Transactions on Mechatronics | Year: 2011
The miniaturization of an autonomous robot requires the integration of components that not only need to satisfy strict spatial constraints, but also need to demonstrate useful functionalities and performance, while demanding low power. For miniaturized autonomous robots that aim at exploring unknown environments, sensors for navigation and for the understanding of basic geometrical features of the environment are of utmost importance for a robots survival and mission. This paper presents a miniaturized triangulation laser scanner that was developed and characterized for use on a 10 × 10 × 10 cm 3 robot. The optimal configurations of the laser sensor on two sides of the robot are discussed, and measurement formulas as well as theoretical resolution are deduced. For indoor applications, the measurement range of the system runs from approximately 80 mm, with1 mm resolution, up to 600 mm, with 12 mm resolution. The aim of the work is to demonstrate the possibility of extracting basic information from the robot surroundings by means of small, simple, low-power, and low-cost demanding devices, which, in addition, can be scaled down in order to equip even smaller robots. © 2010 IEEE.