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用于空间碎片打捞的机器人操作的生物启发方法教程综述

Tutorial Review of Bio-Inspired Approaches to Robotic Manipulation for Space Debris Salvage.

作者信息

Ellery Alex

机构信息

Department of Mechanical & Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa ON K1S 5B6, Canada.

出版信息

Biomimetics (Basel). 2020 May 12;5(2):19. doi: 10.3390/biomimetics5020019.

Abstract

We present a comprehensive tutorial review that explores the application of bio-inspired approaches to robot control systems for grappling and manipulating a wide range of space debris targets. Current robot manipulator control systems exploit limited techniques which can be supplemented by additional bio-inspired methods to provide a robust suite of robot manipulation technologies. In doing so, we review bio-inspired control methods because this will be the key to enabling such capabilities. In particular, force feedback control may be supplemented with predictive forward models and software emulation of viscoelastic preflexive joint behaviour. This models human manipulation capabilities as implemented by the cerebellum and muscles/joints respectively. In effect, we are proposing a three-level control strategy based on biomimetic forward models for predictive estimation, traditional feedback control and biomimetic muscle-like preflexes. We place emphasis on bio-inspired forward modelling suggesting that all roads lead to this solution for robust and adaptive manipulator control. This promises robust and adaptive manipulation for complex tasks in salvaging space debris.

摘要

我们提供了一篇全面的教程综述,探讨了受生物启发的方法在机器人控制系统中的应用,以抓取和操纵各种空间碎片目标。当前的机器人操纵控制系统采用的技术有限,可以通过额外的受生物启发的方法进行补充,以提供一套强大的机器人操纵技术。在此过程中,我们回顾受生物启发的控制方法,因为这将是实现此类能力的关键。特别是,力反馈控制可以辅以预测前向模型和粘弹性预屈曲关节行为的软件模拟。这分别模拟了由小脑和肌肉/关节实现的人类操纵能力。实际上,我们提出了一种基于仿生前向模型的三级控制策略,用于预测估计、传统反馈控制和仿生肌肉样预屈曲。我们强调受生物启发的前向建模,表明所有途径都通向这个实现强大且自适应操纵器控制的解决方案。这有望为打捞空间碎片的复杂任务实现强大且自适应的操纵。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/197c/7345424/b4eedaae4268/biomimetics-05-00019-g001.jpg

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