Literature DB >> 32408615

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

Alex Ellery1.   

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.

Entities:  

Keywords:  cerebellum; on-orbit servicing; predictive forward models; preflex; space debris mitigation; space salvage; viscoelastic muscle

Year:  2020        PMID: 32408615      PMCID: PMC7345424          DOI: 10.3390/biomimetics5020019

Source DB:  PubMed          Journal:  Biomimetics (Basel)        ISSN: 2313-7673


  166 in total

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Authors:  Jürgen Sturm; Christian Plagemann; Wolfram Burgard
Journal:  J Physiol Paris       Date:  2009-08-07

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Journal:  J Neurosci       Date:  1998-11-01       Impact factor: 6.167

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  1 in total

1.  Multimodal Orbital Angular Momentum Data Model Based on Mechanically Reconfigurable Arrays and Neural Networks.

Authors:  Lijun Zhang; Shaojin Wang; Xinhua Zhu; Xiaohui Guo; Yuanbing Gu
Journal:  Comput Intell Neurosci       Date:  2022-06-23
  1 in total

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