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Related Concept Videos

Mechanical Systems01:22

Mechanical Systems

250
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...
250

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Related Experiment Video

Updated: Aug 10, 2025

Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers
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Perspective for soft robotics: the field's past and future.

Falk Tauber1,2, Marc Desmulliez3, Olivier Piccin4

  • 1Plant Biomechanics Group (PBG) Freiburg, Botanic Garden of the University of Freiburg, Freiburg, Germany.

Bioinspiration & Biomimetics
|February 10, 2023
PubMed
Summary
This summary is machine-generated.

Soft robotics is advancing with new materials and manufacturing, enabling intelligent, untethered systems. Future research focuses on enhancing soft robot manufacturing, sensing, movement, and autonomous computation for embodied intelligence.

Keywords:
biomimeticfuture challengesperspectivessoft robotic

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Area of Science:

  • Robotics
  • Materials Science
  • Artificial Intelligence

Background:

  • Soft robotics has evolved significantly since the 1960s, driven by rapid prototyping and novel flexible materials.
  • Recent innovations allow for fully flexible, untethered soft robotic systems.
  • New manufacturing processes and materials are key to developing soft systems with 'embodied intelligence'.

Purpose of the Study:

  • To present expert perspectives on the future of soft robotics.
  • To address key challenges in soft robot manufacturing, sensing, movement, and cognition.
  • To explore the potential of embodied intelligence in autonomous soft robotic systems.

Main Methods:

  • Review of past innovations in soft robotics.
  • Discussion of industrial production techniques for soft robot manufacturing.
  • Exploration of novel tactile sensor development for enhanced environmental interaction.

Main Results:

  • Identification of underutilized industrial production techniques for soft robots.
  • Potential for novel tactile sensors to improve soft robot-environment interaction.
  • Framework for achieving embodied intelligence for autonomous sensory computation.

Conclusions:

  • Soft robotics is poised for significant advancement through integrated manufacturing and sensing.
  • Embodied intelligence offers a pathway for soft robots to process information and act autonomously.
  • Future soft robots could exhibit sophisticated computational abilities derived directly from sensory input.