In this paper we present an application of Reinforcement Learning (RL) methods in the field of robot control. The main objective is to analyze the behavior of batch RL algorithms when applied to a mobile robot of the kind called Mobile Wheeled Pendulum (MWP). In this paper we focus on the common problem in classical control theory of following a reference state (e.g., position set point) and tr...

A new approach for flexible automated handling of fabrics in the sewing process is described, which focuses to control the cloth tension applied by a robot. The proposed hierarchical robot control system includes a Fuzzy decision mechanism combined with a Neuro-controller. The expert’s actions during the sewing process are investigated and this human behavior is interpreted in order to design t...

In this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. The robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (SNS) toward the goal. In the case of no obstacle, SNS was a direct path from the robot to goal; however, in the presence of obstacles, SNS was a space around the r...

 This paper presents our experience in integrated advanced control teaching with a final year undergraduate course taught by the authors in recent years at the University of Girona in Spain. The experimental framework consists of two main components: the soccer-playing robots and computer vision and control systems. By practicing in the Laboratory of Intelligent Systems, the students will achi...

Grid, as the new generation Internet information infrastructure, presents a new solution for robot control. In this paper, we present our research on grid-based robot system which aims at organizing and integrating robot’s control capabilities to construct a RCG(Robot-Control-Grid), which can provide control ability for robot tasks. Not only single robot can be connected to the RCG, but also mu...