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A robotic system based on fuzzy visual servoing for handling flexible sheets lying on a table

机译:基于模糊视觉伺服的机器人系统,用于处理桌上的柔性纸

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Purpose - The purpose of this paper is to present a flexible automation system for the manipulation of fabrics lying on a work table and focuses on the design of a robot control system based on visual servoing and fuzzy logic for handling flexible sheets lying on a table. The main contribution of this paper is that the developed system tolerates deformations that may appear during robot handling of fabrics due to buckling without the need for fabric rigidization. Design/methodology/approach - The vision system, consisting of two cameras, extracts the features that are necessary for handling the fabric despite possible deformations or occlusion from the robotic arm. An intelligent controller based on visual servoing is implemented enabling the robot to handle a variety of fabrics without the need for a mathematical model or complex mathematical/geometrical computations. To enhance its performance, the conventional fuzzy logic controller is tuned through genetic algorithms and an adaptation mechanism and the respective performance is evaluated. The experiments show that the proposed robotic system is flexible enough to handle various fabrics and robust in handling deformations that may change fabric's shape due to buckling. Findings - The experiments show that the proposed robotic system is flexible enough to handle various fabrics and robust in handling deformations that may change fabric's shape due to buckling. Research limitations/implications - It is not possible to cover all the aspects of robot handling of flexible materials in this paper, since there are still several related issues requiring solutions. Considering the future research work, the proposed approach can be extended to sew fabrics with curved edges and correcting the distortions presented during robot handling of fabrics. Practical implications - The paper includes implications for robot handling a variety of fabrics with low and medium bending rigidity on a working table. The intent of this paper deals with buckling in context of achieving a successful seam tracking and not the correction strategy against folding or wrinkling problems. Originality/value - This paper fulfils an identified need to study the fabrics' behavior towards robot handling on a working table.
机译:目的-本文的目的是提出一种用于处理工作台上的织物的柔性自动化系统,并着重于基于视觉伺服和模糊逻辑的机器人控制系统的设计,该系统用于处理工作台上的柔性板。本文的主要贡献在于,开发的系统可以承受由于屈曲而在机器人处理织物时可能出现的变形,而无需加固织物。设计/方法/方法-视觉系统由两个摄像头组成,可提取处理织物所需的功能,即使机器人手臂可能会变形或遮挡。实现了基于视觉伺服的智能控制器,使机器人无需数学模型或复杂的数学/几何计算即可处理各种织物。为了提高其性能,常规的模糊逻辑控制器通过遗传算法进行了调整,并采用了一种自适应机制,并对相应的性能进行了评估。实验表明,所提出的机器人系统具有足够的灵活性,可以处理各种织物,并且在处理因屈曲而可能改变织物形状的变形方面具有鲁棒性。发现-实验表明,所提出的机器人系统具有足够的灵活性,可以处理各种织物,并且在处理可能因弯曲而改变织物形状的变形方面具有很强的鲁棒性。研究的局限性/意义-由于仍然存在一些需要解决的相关问题,因此本文无法涵盖机器人处理柔性材料的所有方面。考虑到未来的研究工作,可以将所提出的方法扩展到缝制具有弯曲边缘的织物,并纠正在机器人处理织物时出现的变形。实际意义-本文包括对机器人在工作台上处理各种中低抗弯刚度织物的影响。本文的目的是在成功完成接缝跟踪的情况下处理屈曲问题,而不是针对折叠或起皱问题的校正策略。原创性/价值-本文满足了确定的需求,需要研究织物在工作台上对机器人操作的行为。

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