Multicore processors have become ubiquitous in today’s systems, but exploiting the parallelism they offer remains difficult, especially for legacy application and applications ...
Abstract. Until now, the great majority of research in low-power systems has assumed a convex power model. However, recently, due to the confluence of emerging technological and ar...
Ani Nahapetian, Foad Dabiri, Miodrag Potkonjak, Ma...
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Abstract. The Unifying Theories of Programming underpins the development of Circus, a state-rich process algebra for refinement. We have previously presented a theory of testing fo...