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Development of a Simulator for the Study of Path Planning of An Autonomous Surface Vehicle in Lake Environments

Federico Peralta, Mario Arzamendia, Derlis Gregor, Kevin Cikel, Maira Santacruz, Daniel Gutiérrez Reina, S. L. Toral

发表年份
2019
引用次数
4

摘要

Path planning is a relevant topic in robotics research because it allows an autonomous vehicle to find a collision-free route. Local path planning is important because it copes with the changing conditions in a dynamic environment. The Autonomous Surface Vehicles (ASV) are a type of vehicles that have been studied in the last 25 years, and also in many applications requires a local path planning for collision avoidance. Before facing the obstacles of deploying in real vehicles or hardware it is important to test different techniques in a simulator. This work presents the development of a simulator for an autonomous surface vehicle after evaluating two possible frameworks that could act as a base platform, the Robotarium and the Matlab robotics toolbox with the robotics operating system. A developed simulator is then tailored to the case of the Ypacarai Lake and some tests were carried out to follow a set of waypoints in this environment. One additional feature of the simulator is that the waypoints are set using Voronoi graphs.

关键词

Motion planningSimulationComputer sciencePath (computing)Surface (topology)Artificial intelligenceRobotComputer network

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