A review on modeling of flexible deformable object for dexterous robotic manipulation

IF 2.3 4区 计算机科学 Q2 Computer Science International Journal of Advanced Robotic Systems Pub Date : 2019-06-16 DOI:10.1177/1729881419848894
Yew Cheong Hou, K. Sahari, D. N. How
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引用次数: 21

Abstract

In this article, we present a review on the recent advancement in flexible deformable object modeling for dexterous manipulation in robotic system. Flexible deformable object is one of the most research topics in computer graphic, computer vision, and robotic literature. The deformable models are known as the construction of object with material parameters in virtual environment to describe the deformation behavior. Existing modeling techniques and different types of deformable model are described. Various approaches of deformable object modeling have been used in robotic recognition and manipulation in order to reduce the time and cost to obtain more accurate result. In robotic manipulation, object detection, classification, and recognition of deformable objects are always a challenging problem and required as a first step to imbue the robot to able handle these deformable objects. Furthermore, the dexterity of robot control is also another essential key in handling of deformable object which its manipulation strategies need to plan intelligently for each sequence process. We also discuss some deserving direction for further research based on most current contribution.
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机器人灵巧操作中柔性可变形物体建模研究进展
本文综述了机器人系统中用于灵巧操作的柔性变形物体建模的最新进展。柔性变形物体是计算机图形学、计算机视觉和机器人文献中研究最多的课题之一。可变形模型是指在虚拟环境中构造具有材料参数的物体来描述其变形行为。描述了现有的建模技术和不同类型的可变形模型。各种可变形物体建模方法已被用于机器人识别和操作,以减少获得更准确结果的时间和成本。在机器人操纵中,可变形物体的物体检测、分类和识别始终是一个具有挑战性的问题,并且需要将其作为使机器人能够处理这些可变形对象的第一步。此外,机器人控制的灵活性也是处理可变形物体的另一个关键,其操纵策略需要为每个序列过程智能规划。我们还讨论了一些值得进一步研究的方向,基于目前的大多数贡献。
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
65
审稿时长
6 months
期刊介绍: International Journal of Advanced Robotic Systems (IJARS) is a JCR ranked, peer-reviewed open access journal covering the full spectrum of robotics research. The journal is addressed to both practicing professionals and researchers in the field of robotics and its specialty areas. IJARS features fourteen topic areas each headed by a Topic Editor-in-Chief, integrating all aspects of research in robotics under the journal''s domain.
期刊最新文献
Expanded photo-model-based stereo vision pose estimation using a shooting distance unknown photo Enhanced lightweight deep network for efficient livestock detection in grazing areas Manipulate mechanism design and synchronous motion application for driving simulator A general method for the manipulability analysis of serial robot manipulators Design, simulation, and experiment for the end effector of a spherical fruit picking robot
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