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Robot localization is a fundamental problem in mobile robotics. This paper proposes the use of a new type of sensor that permits accurate localization in indoor environments. An impulse radio (IR) ultra wide-band (UWB) sensor uses very short baseband pulses for transmission. This sensor facilitates the development of indoor location and tracking applications based on time of arrival estimation with...
Impulse radio (IR) Ultra Wide-Band (UWB) has gained great interest recently for indoor location and tracking applications. Due to its high bandwidth and short pulses length, UWB potentially allows great accuracy in range measurements based on time of arrival (TOA) estimation. There are many different techniques that have been proposed for UWB localization; however they usually have big errors in non...
This paper addresses the problem of generating autonomously an optimal control action sequence for robotic autonomous unmanned vehicles based on adaptive critic designs (ACDs) for their use in autonomous agriculture vehicles, in the context of precision agriculture. The main objective is to design autonomously an optimal controller that steers the center of the vehicle through a number of waypoints...
In this paper, a neuro-dynamic programming-based optimal controller is proposed to drive the crop development in greenhouse systems. The neurocontroller drives the crop growth development by minimizing a predefined cost function, which considers the greenhouse operational costs and the final state errors under physical constraints on process variables and actuator signals. In particular, the neurocontroller...
This work presents an abstract approach of a mathematical analysis of the evolution of a species. A mathematical model is proposed as well that characterizes the natural evolutive phenomena. On the basis of this model, and setting the adequate constraints, it is developed an proved the convergency of a new computational evolutionary algorithm, applied to minimizing (or maximizing) a costs function...
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