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Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next-Generation Intelligence.

Xiaopeng Wang1, Ruilai Wei1, Zhongming Chen1

  • 1School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China.

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PubMed
Summary
This summary is machine-generated.

Soft robotics integrates biomimetic design, programmable materials, advanced manufacturing, and AI for intelligent machines. This review explores breakthroughs and challenges in developing adaptive, energy-efficient soft robots for diverse applications.

Keywords:
actuationbioinspiredembodied intelligenceintelligent machinessoft robotics

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Area of Science:

  • Robotics
  • Materials Science
  • Biotechnology

Background:

  • Soft robotics offers compliance and adaptability, inspired by biological systems.
  • It enables safe human-environment interaction and energy-efficient reconfiguration.
  • Biological systems provide a blueprint for multifunctionality in unstructured environments.

Purpose of the Study:

  • To comprehensively analyze intelligent soft robotics through multidisciplinary integration.
  • To examine recent breakthroughs in biomimetic actuation, programmable materials, manufacturing, and AI control.
  • To identify challenges and strategic research directions for next-generation soft robots.

Main Methods:

  • Systematic review of literature on soft robotics.
  • Analysis of four key domains: actuation, materials, manufacturing, and control.
  • Discussion of emerging applications and current challenges.

Main Results:

  • Breakthroughs in biomimetic actuation, programmable materials, multiscale manufacturing, and AI-driven control strategies.
  • Identification of key applications in biomedical engineering, environmental exploration, and human-machine interfaces.
  • Discussion of challenges including efficiency, material degradation, manufacturing limits, and control complexity.

Conclusions:

  • Soft robotics is a transformative paradigm for intelligent systems.
  • Synergies in materials science, mechanical engineering, and AI are crucial for advancement.
  • Future soft robots will feature embodied intelligence and adaptive functionalities for healthcare, exploration, and human augmentation.