International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 1, January 2015) 327 Random Processes of Evolution of a Mobile Robot in an Unstructured Environment Tony Stanescu 1 , Valer Dolga 2 1 Phd., Politehnica University of Timisoara, Bd. Mihai Viteazu 1, Timisoara, Romania, cod 300222 2 Prof. Dr. Eng., Politehnica University of Timisoara, Bd. Mihai Viteazu 1, Timisoara, Romania, cod 300222 Abstract— Evolution of the mobile robot is currently characterized by multiple applications in dynamic workspaces and low initial knowledge. In this paper presents aspects of approaching random processes of evolution of a mobile robot in an unstructured environment . The experimental results are used for modeling an infrared sensor (integrated in the mobile robot structure) and to assess the probability of locating obstacles in the environment. Keywords— Infrared sensor, Location, Mobile robot. I. INTRODUCTION Navigating mobile robots - autonomous mobile systems - is a broad subject, covering a broad spectrum of different technologies and applications [1], [2], [3]. Moving the mobile robot in a workspace (scene work) is affected by a number of phenomena, processes falling within the Random: ground contact, dynamic scene analysis, the size and shape of objects in the scene work [4]. These requirements vary greatly with the application. Any autonomous system must be able to determine its position at a resolution at least within its own dimensions, in order to navigate and interact correctly with the working environment [5]. Avoiding obstacles is one of the most important issues which arise from the realization of a mobile robot. Without this capability, the robot motion as restrictive and fragile. Obstacle detection and avoidance of obstacles means stopping or changing direction of travel of the mobile robots, in order to avoid collisions. It is fundamental to the design of a mobile robot research, as it is equipped with a sensor that is capable of acquiring information on which to form an internal representation of the surrounding world, to make decisions and plan action. Ultrasonic and infrared sensors are widely used in the construction of mobile robots [6], [7], [8]. Response amplitude sensors infrared (IR) is based on the reflection of optical radiation on the objects in the scene work. Reflective process depends on the characteristics of the surface reflectance of the object. The response in the sensor elements (R) is widely used due to its low cost and fast response time. The response time of these sensory elements is superior ultrasonic sensors. Everett [9] used to determine the phase difference of the received signal the location of objects. IR variants are various sensory elements. Sabatini [10] and Colla [11] uses an IR sensor for low fields (below 250 mm) with a resolution unconvincing. Vaz [12] uses an infrared sensor to an acceptable accuracy (5 mm) reflector system known positions. Korba [13] uses multiple sensory elements IR for determining the distance but the results are compelling. Benet & all [14] state that documentation on the use of IR sensors in mobile robotics is reduced. Mohammad [15] addresses the Phong lighting model to analyze IR sensors to determine distance continuing research in this area. Research in the field aim to identify new variants both sensory (IR) to be integrated successfully in the construction of mobile robots and IR sensor behavior. Novotny [16] analyzes the behavior of the sensing element on the energy emitted and received respectively. Determine the distance between the sensing element and the obstacle is evaluated by the authors in three steps: identification of the obstacle parameter identification and orientation of the plane of the element sensory refelexie the obstacle plan and calculate the distance between sensor and obstacle. The paper aims to analyze the possibilities of using an infrared sensor for locating an object, the sensor characteristic determination and choice mathematical expression that describes this feature and illustrate through practical application of those stated. The paper is divided into four chapters preceded by ―Abstract‖ and ending with ―Acknowledgments‖ and ―References‖. In the chapter "Determination of the characteristic of sensory element" is studied calculus characteristic feature direct and inverse variations are presented and adopted.