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Exploring Embodied Intelligence in Soft Robotics: A Review.

Zikai Zhao1, Qiuxuan Wu1,2,3,4, Jian Wang1,3

  • 1HDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.

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Summary
This summary is machine-generated.

This study explores embodied intelligence in soft robotics, focusing on how physical form and intelligent interactions create natural robotic behaviors. It examines computation, evolution, perception, control, and decision-making for adaptable soft robots.

Keywords:
bio-inspiredembodied intelligencereinforcement learningsoft robotics

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Embodied Intelligence

Background:

  • Soft robotics leverages physical forms and intelligent interactions for natural behaviors.
  • Embodied intelligence highlights the interplay between brain, body, and environment for adaptable agents.
  • Current research integrates AI and robotics for enhanced perception, decision-making, and control.

Purpose of the Study:

  • To investigate embodied intelligence within the soft robotics domain.
  • To explore the synergy between physical design, material properties, and intelligent algorithms.
  • To provide a reference for future research in soft robotics and embodied AI.

Main Methods:

  • Review and synthesis of research on embodied intelligence in soft robotics.
  • Analysis of computation, evolution, perception, control, and decision-making strategies.
  • Identification of key research progress and scientific challenges.

Main Results:

  • Soft robotics design and control are intrinsically linked to physical form and material properties.
  • Embodied intelligence frameworks enhance natural and adaptable interactions with the environment.
  • Key areas include embodied morphology computation, AI evolution, and soft robot perception/control.

Conclusions:

  • Embodied intelligence offers a powerful paradigm for advancing soft robotics.
  • Further research is needed to address computational, evolutionary, and control challenges.
  • This work provides a foundational overview for the field.