Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
In this paper, we present a system synthesis algorithm, called MOCSYN, which partitions and schedules embedded system specifications to intellectual property cores in an integrate...
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...
Power management strategies for embedded systems typically rely on static, application driven deactivation of components (e.g. sleep, suspend), or on dynamic voltage and frequency...
Geovani Ricardo Wiedenhoft, Lucas Francisco Wanner...
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...