There is growing interest in autonomic computing systems that can optimize their own behavior on different platforms without manual intervention. Examples of successful self-opti...
Kamen Yotov, Sandra Jackson, Tyler Steele, Keshav ...
Abstract— In this paper, we present an algorithm for manipulability based trajectory generation for any serial manipulator that has an inverse kinematic model that can obtain all...
Luis Guilamo, James J. Kuffner Jr., Koichi Nishiwa...
A dynamic optimizer is a runtime software system that groups a program’s instruction sequences into traces, optimizes those traces, stores the optimized traces in a softwarebase...
Ignoring the effect of simultaneous switching for logic gates causes silicon failures for high performance microprocessor designs. The main reason to omit this effect is the run...
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...