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Bioinspired soft robots for deep-sea exploration

Guorui Li, Tuck‐Whye Wong, Benjamin Shih, Chunyu Guo, Luwen Wang, Jiaqi Liu, Tao Wang, Xiaobo Liu, Jiayao Yan, Baosheng Wu, Fajun Yu, Yunsai Chen, Yiming Liang, Yaoting Xue, Chengjun Wang, Shunping He, Li Wen, Michael T. Tolley, A‐Man Zhang, Cecilia Laschi

Year
2023
Citations
199
Access
Open access

Abstract

The deep ocean, Earth's untouched expanse, presents immense challenges for exploration due to its extreme pressure, temperature, and darkness. Unlike traditional marine robots that require specialized metallic vessels for protection, deep-sea species thrive without such cumbersome pressure-resistant designs. Their pressure-adaptive forms, unique propulsion methods, and advanced senses have inspired innovation in designing lightweight, compact soft machines. This perspective addresses challenges, recent strides, and design strategies for bioinspired deep-sea soft robots. Drawing from abyssal life, it explores the actuation, sensing, power, and pressure resilience of multifunctional deep-sea soft robots, offering game-changing solutions for profound exploration and operation in harsh conditions.

Keywords

RobotDeep seaResilience (materials science)Computer sciencePropulsionAbyssal zoneArtificial intelligenceHigh pressureMarine engineeringGeology

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