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用于机器人操作的可变形物体建模:教程与综述

Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review.

作者信息

Arriola-Rios Veronica E, Guler Puren, Ficuciello Fanny, Kragic Danica, Siciliano Bruno, Wyatt Jeremy L

机构信息

Department of Mathematics, Faculty of Science, UNAM Universidad Nacional Autonoma de Mexico, Ciudad de México, Mexico.

Autonomous Mobile Manipulation Laboratory, Centre for Applied Autonomous Sensor Systems, Orebro University, Orebro, Sweden.

出版信息

Front Robot AI. 2020 Sep 17;7:82. doi: 10.3389/frobt.2020.00082. eCollection 2020.

Abstract

Manipulation of deformable objects has given rise to an important set of open problems in the field of robotics. Application areas include robotic surgery, household robotics, manufacturing, logistics, and agriculture, to name a few. Related research problems span modeling and estimation of an object's shape, estimation of an object's material properties, such as elasticity and plasticity, object tracking and state estimation during manipulation, and manipulation planning and control. In this survey article, we start by providing a tutorial on foundational aspects of models of shape and shape dynamics. We then use this as the basis for a review of existing work on learning and estimation of these models and on motion planning and control to achieve desired deformations. We also discuss potential future lines of work.

摘要

可变形物体的操作在机器人技术领域引发了一系列重要的开放性问题。应用领域包括机器人手术、家用机器人、制造业、物流和农业等等。相关的研究问题涵盖物体形状的建模与估计、物体材料特性(如弹性和塑性)的估计、操作过程中的物体跟踪与状态估计,以及操作规划与控制。在这篇综述文章中,我们首先提供关于形状和形状动力学模型基础方面的教程。然后以此为基础,回顾关于这些模型的学习与估计以及关于实现期望变形的运动规划与控制的现有工作。我们还讨论了潜在的未来工作方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c28c/7805872/bef96f5f3d5c/frobt-07-00082-g0001.jpg

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