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A Shift from Efficiency to Adaptability: Recent Progress in Biomimetic Interactive Soft Robotics in Wet Environments
Jielun Fang1, Yanfeng Zhuang2, Kailang Liu1
1College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518000, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|January 24, 2022
Summary
Soft robotics research is advancing rapidly, especially for underwater applications. This review covers biomimetic designs, materials, fabrication, and functions for adaptive soft robots in wet environments.
Area of Science:
- Robotics
- Materials Science
- Biomimetics
Background:
- Soft robotics is a rapidly growing field with applications in human interaction, wearables, and adaptable robots for unpredictable environments.
- Wet environments like the sea and in vivo offer unique challenges and opportunities for advanced soft robotic systems.
- Recent advancements in hybridized soft robotics demonstrate potential for diverse underwater interactive applications.
Purpose of the Study:
- To review the development of soft robots specifically designed for wet environments.
- To consolidate current knowledge on biomimetic inspirations, materials, fabrication, integration, and functions of underwater soft robots.
Main Methods:
- Literature review of recent progress in soft robotics for wet environments.
- Recapitulation of biomimetic principles and soft matter material advancements.
- Analysis of fabrication techniques, system integration, and functional applications.
Main Results:
- Soft hybridized robotics show promise for underwater tasks.
- A comprehensive overview of materials, fabrication, and system integration for underwater soft robots is presented.
- Exemplary functions of current underwater soft robots are highlighted.
Conclusions:
- The field of soft robotics in wet environments is rapidly evolving, driven by biomimetic inspirations and material science.
- Key challenges remain in engineering materials, software, and hardware for highly intelligent and adaptable underwater soft robots.
- Further research is needed to overcome engineering hurdles and realize the full potential of intelligent soft robots in real-world wet applications.

