In this paper we present a novel formulation for the optimal control of discrete event dynamic processes which represent production systems with unreliable machines and buffers of...
Abstract: Model-Driven Architecture (MDA) presents a set of layered models to separate design concerns from platform concerns. The model executability for each model element is sti...
Jin Hyun Kim, Jin-Young Choi, Inhye Kang, Insup Le...
To seamlessly integrate into the human physical and social environment, robots must display appropriate proxemic behavior—that is, follow societal norms in establishing their ph...
— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
Amir Massoud Farahmand, Azad Shademan, Martin J&au...
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...