A path planning strategy for obstacle avoidance

ICINCO-RA Pub Date : 2006-08-01 DOI:10.5220/0001211604380444
G. Blanc, Y. Mezouar, P. Martinet
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引用次数: 2

Abstract

This paper presents an obstacle avoidance module dedicated to non-holonomic wheeled mobile robots. Chained system theory and deformable virtual zone principle are coupled to design an original framework based on path following formalism. The proposed strategy allows to correct the control output provided by a navigation module to preserve the robot security while assuring the navigation task. First, local paths and control inputs are derived from the interaction between virtual zones surrounding the robot and obstacles to efficiently prevent from collisions. The resulting control inputs and the ones provided by the navigation module are then adequately merged to ensure the success of the navigation task. Experimental results using a cart-like mobile robot equipped with a sonar sensors belt confirm the relevance of the approach.
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一种避障路径规划策略
提出了一种非完整轮式移动机器人避障模块。将链式系统理论与可变形虚区原理相结合,设计了基于路径跟随形式化的原始框架。该策略允许对导航模块提供的控制输出进行校正,在保证导航任务的同时保证机器人的安全性。首先,从机器人周围的虚拟区域与障碍物之间的相互作用中获得局部路径和控制输入,以有效地防止碰撞。然后将得到的控制输入和导航模块提供的控制输入充分合并,以确保导航任务的成功。使用配备声纳传感器带的推车状移动机器人进行的实验结果证实了该方法的相关性。
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