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Related Concept Videos

Mechanical Systems01:22

Mechanical Systems

392
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
392

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Exploiting Mechanical Instabilities in Soft Robotics: Control, Sensing, and Actuation.

Aniket Pal1,2, Vanessa Restrepo3, Debkalpa Goswami1,4

  • 1School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN, 47907, USA.

Advanced Materials (Deerfield Beach, Fla.)
|April 1, 2021
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Summary
This summary is machine-generated.

Soft robots leverage mechanical instabilities for faster, more powerful actuation. This review explores strategies for enhanced soft robotic performance, control, and computation using these principles.

Keywords:
bucklingmechanical instabilitiesprogrammable mattersnap throughsoft robotics

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Area of Science:

  • Soft robotics
  • Mechanical engineering
  • Materials science

Background:

  • Soft robots offer advantages in adaptability, maneuverability, and safety over rigid robots.
  • However, soft materials limit actuation speed and output force in soft robotic systems.

Purpose of the Study:

  • To review literature on soft robots and actuators that utilize mechanical instabilities.
  • To discuss strategies for overcoming speed and power limitations in soft robotics.

Main Methods:

  • Exploiting mechanical instabilities for rapid energy release and power amplification.
  • Utilizing structural phase transitions for enhanced control and sensing.
  • Developing soft logic modules for material intelligence and computation.

Main Results:

  • Mechanical instabilities enable significant improvements in actuation speed and output power.
  • Structural phase transitions offer novel solutions for soft robotic control and sensing.
  • Instability-based soft logic modules provide distributed computational capabilities.

Conclusions:

  • Mechanical instabilities are a key enabler for high-performance soft robotics.
  • Future soft robots can achieve greater functionality and intelligence through these strategies.