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Capability by Stacking: The Current Design Heuristic for Soft Robots.

Stephen T Mahon1, Jamie O Roberts2,3, Mohammed E Sayed4

  • 1School of Engineering, The Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3LJ, UK. s.mahon@ed.ac.uk.

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Summary
This summary is machine-generated.

Soft robots utilize functional blocks, which are combined through "stacking" to enhance capabilities. As complexity grows, increased autonomy will be crucial for advanced soft robotic systems.

Keywords:
capabilitycomplexitydesignfunctional blockshierarchysoft robotsstacking

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Area of Science:

  • Robotics
  • Materials Science
  • Control Systems

Background:

  • Soft robots offer diverse applications, from underwater manipulation to rehabilitation.
  • Current soft robot control relies heavily on one-to-one mapping between controllers and actuators.
  • The concept of functional blocks and 'stacking' them is emerging for enhanced capabilities.

Purpose of the Study:

  • To analyze the trend of functional block stacking in soft robot design.
  • To identify the relationship between stacking and system complexity/capability.
  • To predict future control paradigm shifts in soft robotics.

Main Methods:

  • Literature review of 20 soft robotic systems.
  • Analysis of control architectures and functional block integration.
  • Observation of design heuristics in soft robot development.

Main Results:

  • A prevalent one-to-one mapping of control outputs to functional blocks was observed.
  • Stacking functional blocks significantly increases system complexity and behavioral diversity.
  • More capable soft robots increasingly rely on stacking functional blocks.

Conclusions:

  • The stacking of functional blocks is a key engineering approach for advancing soft robot capabilities.
  • Practical limits in parallel control lines necessitate greater autonomy in complex soft systems.
  • Future soft robotics research requires new design tools and control paradigms for non-linear, stacked systems.