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A muscle-like recruitment actuator with modular redundant actuation units for soft robotics

  • Glenn Mathijssen(corresponding author)
    ,
  • ,
  • Bram Vanderborght
    ,
  • Antonio Bicchi
*Corresponding author for this work
  • Vrije Universiteit Brussel
    ,
  • Università di Pisa
    ,
  • The University of Tulsa
    ,
  • Department of Advanced Robotics
    ,
  • Istituto Italiano di Tecnologia
Research Output:
Contribution to journal
Article
Peer-review

Abstract

Human muscles contrast sharply with traditional robot actuators in that they consist of several motor units, connected in series and parallel, which can be progressively recruited. Some roboticists have explored this idea in robotic actuators, striving for improvements such as the ability to withstand partial damage, inexpensive repeatability by discrete open loop control and the potential of modular actuators. These systems, however, become rather complex or rely on less widely used actuation techniques such as piezo-actuators or SMAs to produce a compact implementation. This paper presents a novel design of a modular redundant actuation unit which can be combined in various combinations to form compliant actuators with varying characteristics. The actuation unit consists of discretely activated solenoids with an integrated compliant coupling. This paper presents the working principle and the physical implementation in detail. Failure of a single motor unit will merely lead to a loss in performance rather than failure of the actuator. Since each motor unit is discrete, neither power electronics nor control requires analog signals. Isometric experiments display the actuation characteristics and demonstrate the repeatability. The platform can be used in future work to further explore the virtues of exploiting discretization and redundancy in muscle-like control.

Bibliographic Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 40-50 (11 pages)

Journal (Volume, Issue Number)

Robotics and Autonomous Systems (Volume 74)

Publication milestones

  • Published - 2015

Publication status

Published - 2015

ISSN

0921-8890

Publication IDs

  • Scopus: 84955442444