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Adaptable Robot Formation Control: Adaptive and Predictive Formation Control of Autonomous Vehicles

机译:自适应机器人编队控制:自动驾驶车辆的自适应预测编队控制

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摘要

The ability to use cooperative small vehicles is of interest in many applications. From material transportation to farming operations, the use of small machines achieving small tasks, but able to work together to complete larger tasks, permits us to rely on a unique kind of vehicle. To be efficient, such a point of view requires the vehicles to be, at least partially, autonomous and their motion must be accurately coordinated for the tasks to be properly achieved. This article proposes a control framework dedicated to the accurate control of a fleet of mobile robots operating in formation. Decentralized control relying on interrobot communication has been favored. To ensure a high relative positioning, adaptive and predictive control techniques are considered, allowing us to account for the influence of several phenomena (such as dynamic perturbations or bad grip conditions) depreciating the relevance of classical approaches based on ideal robots and ideal contact conditions assumptions.
机译:使用协作型小型车辆的能力在许多应用中都受到关注。从物料运输到农业运营,使用小型机械完成较小的任务,但能够共同完成较大的任务,这使我们能够依靠一种独特的车辆。为了高效,这种观点要求车辆至少部分是自主的,并且它们的运动必须准确地协调以正确地完成任务。本文提出了一种控制框架,专用于精确控制编队中移动机器人的数量。依赖机器人间通信的分散控制已受到青睐。为了确保较高的相对位置,考虑了自适应和预测控制技术,使我们能够考虑几种现象(例如动态扰动或不良抓地条件)的影响,这些现象降低了基于理想机器人和理想接触条件假设的经典方法的相关性。

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    《IEEE Robotics & Automation Magazine》 |2014年第1期|28-39|共12页
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  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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