TAILIEUCHUNG - Mobile Robots Navigation_2

Mobile robots navigation includes different interrelated activities: (i) perception, as obtaining and interpreting sensory information; (ii) exploration, as the strategy that guides the robot to select the next direction to go; (iii) mapping, involving the construction of a spatial representation by using the sensory information perceived; (iv) localization, as the strategy to estimate the robot position within the spatial map; (v) path planning, as the strategy to find a path towards a goal location being optimal or not; and (vi) path execution, where motor actions are determined and adapted to environmental changes | 16 Navigation for mobile autonomous robots and their formations An application of spatial reasoning induced from rough mereological geometry Lech Polkowski and Pawel Osmialowski Polish - Japanese Institute of Information Technology Poland 1. Introduction This Chapter is intended as a sequel to our Chapter 21 in the book on Mobile Robots Motion Planning. New Challenges by this Publisher. It is now commonly accepted that problems of planning and navigation are inseparable Most recent contribution to the field combine effective algorithms tested on significant problems along with some formal guarantees of performance . Latombe in Foreword to Principles of Robot Motion. Theory Algorithms and Implementations by H. Choset et al. . Therefore as with the former Chapter we provide in this Chapter planning mechanisms along with navigation tests and a theoretical analysis of underlying constructs. We extend our scope of analysis by considering formations of mobile autonomous robots. We introduce a definition of a robot formation based on the spatial relation of betweenness and we give a treatment of planning and navigation problems for robot formations. In our investigations into problems of multirobot planning and navigation we apply rough mereological theory of spatial reasoning. This theory is briefly recalled in this Chapter for completeness sake. The software system Player Stage is employed as means of simulation and visualization of robot trajectories to chosen goals. To this end it has been provided with SQL functions rendering predicates of rough mereological geometry. Robotics of autonomous mobile robots presents the most intricate field for applications of techniques of artificial intelligence decision making and cognitive methods. Among the basic problems in this area are planning and navigation problems and we are concerned with them both in their mutual planning and navigation problem for mobile robots is addressed from many angles and a multitude of

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