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A macro-micro controller for pallet picking by an articulated-frame-steering hydraulic mobile machine

机译:铰接式转向液压移动机械用于托盘拣选的宏微控制器

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This paper addresses the macro-micro configuration of a mobile manipulation problem for a forklift; specifically, it investigates pallet picking with visual feedback. A manipulator with limited degrees of freedom and differential constraint mobility, together with the large dimensions of the machine, requires reliable visual feedback (pallet pose) and navigation from relatively large distances. It has been shown that the problem can be divided into two parts in order to solve the related issues based on path following theories and visual servoing. Moreover, visual pallet detection is non-real-time and unreliable, especially due to large distances, unfavorable vibrations, and fast steering. To address these issues, we introduce a simple and efficient method that integrates the vision output with odometry and realizes a smooth and nonstop transition from global navigation to visual servoing. Real-world implementation on a small-sized forklift demonstrates the efficacy of the proposed macro-micro architecture.
机译:本文讨论了叉车移动操纵问题的宏观-微观结构。特别是,它通过视觉反馈来调查托盘拣选。具有有限的自由度和微分约束移动性的机械手,以及机器的大尺寸,都需要可靠的视觉反馈(托盘姿态)和从相对较大的距离进行导航。结果表明,基于路径跟踪理论和视觉伺服,该问题可以分为两部分,以解决相关问题。此外,视觉货盘检测是非实时且不可靠的,特别是由于距离远,振动不利和转向快。为了解决这些问题,我们引入了一种简单有效的方法,该方法将视觉输出与测距法集成在一起,并实现了从全局导航到视觉伺服的平稳,不间断的过渡。在小型叉车上的实际实现展示了所提出的宏微体系结构的功效。

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