Mobile robots are nowadays having an undisputed pervasiveness in modern society. Autonomous driving cars as well as applications of service robots (e.g. cleaning robots, companion robots, intelligent healthcare solutions, tour-guided systems) are becoming more and more popular and a general acceptance is now developing around such systems in modern societies. Nonetheless, one of the major problems in building such applications relies on the capability of autonomous systems to understand their surroundings and then plan proper counteractions. Besides learning-based tools, the classical concepts of metrology, such as standard uncertainty, accuracy, and precision, are still unavoidable for a clear and effective understanding of modern mobile robot applications. In this talk, some fundamental measurement concepts will be revised in this domain. In particular, we will cover the main concepts of the statistical approach to measurements that will then be applied to the positioning, localization, and control of mobile robots.
Location: Online Virtual Webinar
Region: Southwest United States
LMAG: Galveston Bay