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Hybrid Electric-Pneumatic Actuator

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Novel Bioinspired Actuator Designs for Robotics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 888))

Abstract

Compared to biological muscles, current technical actuators are limited in their performance and versatility to realize human-like locomotion. In order to overcome the actuator limitations for locomotion, we introduce the hybrid EPA actuator as a combination of electric and pneumatic actuators in this chapter. As a new variable impedance actuator, the EPA design provides direct access to the control and morphological properties. We demonstrate that with the EPA, the actuator limitations could be clearly reduced in vertical hopping.

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Author information

Authors and Affiliations

  1. College of Engineering, School of ECE, University of Tehran, P.O. Box 14395/515, Tehran, Iran

    Maziar Ahmad Sharbafi

  2. Institut fr Sportwissenschaft, Centre for Cognitive Science, Technische UniversitDarmstadt, Alexanderstr. 10, D-64289, Darmstadt, Germany

    Aida Mohammadi Nejad Rashty

Authors
  1. Maziar Ahmad Sharbafi
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  2. Aida Mohammadi Nejad Rashty
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Corresponding author

Correspondence to Maziar Ahmad Sharbafi .

Editor information

Editors and Affiliations

  1. Chair of Autonomous Systems and Mechatronics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

    Philipp Beckerle

  2. Electrical and Computer Engineering Department, University of Tehran School of Engineering, Tehran, Iran

    Maziar Ahmad Sharbafi

  3. Dienst Werktuigkunde (MECH), Vrije Universiteit Brussel and Flanders Make, Brussels, Belgium

    Tom Verstraten

  4. Institute of Medical Device Technology, University of Stuttgart, Stuttgart, Germany

    Peter P. Pott

  5. Technische Universität Darmstadt, Darmstadt, Hessen, Germany

    André Seyfarth

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Ahmad Sharbafi, M., Mohammadi Nejad Rashty, A. (2021). Hybrid Electric-Pneumatic Actuator. In: Beckerle, P., Sharbafi, M.A., Verstraten, T., Pott, P.P., Seyfarth, A. (eds) Novel Bioinspired Actuator Designs for Robotics. Studies in Computational Intelligence, vol 888. Springer, Cham. https://doi.org/10.1007/978-3-030-40886-2_6

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