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Mobile Robot Based on the Selection of Fuzzy Behaviours for following Trajectories in Crops

Claudio Urrea, J. Muñoz-Cámara

Year
2016
Citations
2
Access
Open access

Abstract

This article addresses the problem of trajectory tracking in crops by a weed sprayer mobile robot (WSMR). This problem arises because to fumigate, the robot must follow a predefined path and avoid any obstacles it may encounter. To achieve both trajectory tracking and obstacle avoidance, a control scheme based on different behaviours is proposed, which consists essentially of an adaptive controller with a reference model for trajectory tracking and a fuzzy reactive for obstacle avoidance. Each of these controllers is executed according to the selection of the fuzzy behaviour controller, which uses information delivered by anti-collision sensors located on the robot. As a result of the implementation of this behaviour-based architecture and by means of computer simulations and experimental laboratory tests, the WSMR demonstrates the capability of autonomously following a desired trajectory between the rows of a crop in the presence of obstacles. The results are evaluated by taking into account trajectory tracking curves and the operating requirements of each controller, as well as the application of different errors indices for quantitatively evaluating the proposed control scheme.

Keywords

TrajectoryComputer scienceController (irrigation)Mobile robotObstacle avoidanceControl theory (sociology)RobotFuzzy logicFuzzy control systemTracking (education)

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