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Bioinspired Soft Robot with Incorporated Microelectrodes
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Dynamic simulation of articulated soft robots.

Weicheng Huang1, Xiaonan Huang2, Carmel Majidi3

  • 1Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, 420 Westwood Plaza, Los Angeles, CA, 90095, USA.

Nature Communications
|May 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a fast numerical simulation tool for soft robots, enabling efficient design and control. The computational framework aids in overcoming current limitations in soft robotic engineering.

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Area of Science:

  • Robotics
  • Computational Mechanics
  • Materials Science

Background:

  • Soft robots offer unique mechanical capabilities beyond rigid systems.
  • Current soft robot design and control face challenges due to simulation limitations.
  • A computational framework is needed for efficient soft robotic engineering.

Purpose of the Study:

  • Introduce a novel numerical simulation tool for limbed soft robots.
  • Develop a computational framework to aid in soft robotic engineering.
  • Enable faster and more accurate simulation for soft robot design.

Main Methods:

  • Utilize discrete differential geometry for simulating slender structures.
  • Incorporate implicit elasticity treatment for robot limbs.
  • Model inelastic collisions and Coulombic friction with uneven surfaces.

Main Results:

  • The simulation tool runs faster than real-time on a desktop processor.
  • Achieved quantitative agreement between experiments and simulations.
  • Demonstrated the potential of predictive simulations in soft robot design.

Conclusions:

  • The developed simulation tool addresses key challenges in soft robot engineering.
  • Predictive simulations can significantly accelerate the design process for soft robots.
  • This work lays the foundation for a comprehensive computational framework for soft robotics.