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Bioinspired Soft Robot with Incorporated Microelectrodes
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Reconfigurable Soft Robots by Building Blocks.

Mohamed G B Atia1, Abdelkhalick Mohammad1, Andres Gameros1

  • 1Rolls-Royce UTC in Manufacturing and On-Wing Technology, The University of Nottingham, Nottingham, NG8 1BB, UK.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 3, 2022
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Summary
This summary is machine-generated.

This study introduces modular soft building blocks for reconfigurable soft robots. This approach simplifies the creation and modification of diverse soft robot designs, enhancing their adaptability.

Keywords:
bioinspiredbuilding blocksmodularityreconfigurabilitysoft robots

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Area of Science:

  • Robotics
  • Materials Science
  • Mechanical Engineering

Background:

  • Soft robots offer advantages over rigid robots in handling delicate or complex tasks due to their inherent flexibility.
  • The reconfigurability of soft robots through modular designs remains an underexplored area, limiting their versatility.
  • Current soft robot designs often lack standardized components for easy assembly and modification.

Purpose of the Study:

  • To present a novel design of modular soft building blocks for reconfigurable soft robots.
  • To develop a framework for creating diverse soft robot configurations using these blocks.
  • To demonstrate the practical application of this modular approach in bio-inspired robotic designs.

Main Methods:

  • Development of a numerical model for the constitutive soft building block to analyze its behavior.
  • Implementation of a shape optimization algorithm to facilitate the construction of various soft robot configurations.
  • Validation through 2D and 3D case studies including soft fingers, an elephant trunk manipulator, and a walking robot.

Main Results:

  • The numerical model successfully characterized the behavior of the soft building blocks.
  • The shape optimization algorithm enabled the design of multiple complex soft robot structures.
  • Case studies demonstrated the feasibility of creating reconfigurable soft robots for tasks like grasping and locomotion.

Conclusions:

  • The proposed modular building block approach significantly simplifies the construction and reconfiguration of soft robots.
  • This method allows for the creation of soft robots with diverse and complex shapes tailored to specific applications.
  • The research opens new avenues for adaptable and versatile soft robotic systems.