The path planning of cleaner robot for coverage region using Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Mobile Robot Path Planning Using Genetic Algorithms
Genetic Algorithms (GAs) have demonstrated to be effective procedures for solving multicriterion optimization problems. These algorithms mimic models of natural evolution and have the ability to adaptively search large spaces in near-optimal ways. One direct application of this intelligent technique is in the area of evolutionary robotics, where GAs are typically used for designing behavioral c...
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In path planning Problems, a complete description of robot geometry, environments and obstacle are presented; the main goal is routing, moving from source to destination, without dealing with obstacles. Also, the existing route should be optimal. The definition of optimality in routing is the same as minimizing the route, in other words, the best possible route to reach the destination. In most...
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This paper presents a new algorithm for global path planning to a goal for a mobile robot using Genetic Algorithm (GA). A genetic algorithm is used to find the optimal path for a mobile robot to move in a static environment expressed by a map with nodes and links. Locations of target and obstacles to find an optimal path are given in an environment that is a 2-D workplace. Each via point (landm...
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In this paper we propose a reward-driven finitehorizon model akin to a Markov Decision Process to extract the maximum amount of valuable data in least amount of time. We present a path planning algorithm that generates off-line trajectories for multiple robots to cover a region of interest by visiting the hot-spots in increasing order of their significance. An underlying distribution is assumed...
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ژورنال
عنوان ژورنال: Journal of Innovation in Digital Ecosystems
سال: 2016
ISSN: 2352-6645
DOI: 10.1016/j.jides.2016.05.004