This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
For newly designed or transformed business processes, accurately predicting business performances such as costs and customer services before actual deployment is very important. W...
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
— In this work, we present a framework for the development of a planar mobile robot controller based on image plane feedback. We show that the design of such a motion controller ...
— We present a novel approach for determining robot movements that efficiently accomplish the robot’s tasks while not hindering the movements of people within the environment....
Brian Ziebart, Nathan D. Ratliff, Garratt Gallaghe...