— The efforts to construct a national scale Grid computing environment have brought unprecedented computing capacity and complicacy. Exploiting this complex infrastructure requir...
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
ABSTRACT Because of technology advances power consumption has emerged up as an important design issue in modern high-performance microprocessors. As a consequence, research on redu...
Diana Bautista, Julio Sahuquillo, Houcine Hassan, ...
Clustering and scheduling of tasks for parallel implementation is a well researched problem. Several techniques have been presented in the literature to improve performance and re...
— This paper proposes a necessary and sufficient condition for parallel grasps. We extend the use of this condition to the task of regrasp planning. In particular, we propose a ...