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15 - General Engineering

University of Sheffield

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Output 15 of 66 in the submission

Article title

Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles

Type

D - Journal article

DOI

10.1109/TSMCB.2009.2018138

Title of journal

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Article number

Volume number

Issue number

First page of article

1420

ISSN of journal

10834419

Year of publication

2009

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4814555

Number of additional authors

Additional information

This successful early collaborative work between researchers at the University of Sheffield and the Bristol Robotics Laboratory had impact by stimulating wider collaboration and funding in new themes, especially in soft robotics (with Dr Jonathan Rossiter, Jonathan.Rossiter@bristol.ac.uk): the paper laid a milestone in being the first to apply the adaptive filter model of the cerebellum to soft, muscle-like, actuators and therefore became a key paper in a successful EPSRC grant application on soft robotics and artificial muscle control using bioinspired techniques (EP/I032533/1, value £1,081,051). One grant reviewer noted that “the research proposed is exciting and ambitious”.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract