Bioinspired underwater soft robots: from biology to robotics and back
Lei Li, Boyang Qin, Wenzhuo Gao, Yanyu Li, Yiyuan Zhang, Bo Wang, Shihan Kong, Jian Wang, Dekui He, Junzhi Yu

TL;DR
This paper presents a bidirectional framework integrating biological principles and robotic design to advance bio-inspired underwater soft robotics, enabling new scientific and practical applications in marine exploration and biology.
Contribution
It introduces a holistic, bidirectional approach that uses soft robots to both mimic and probe biological functions, fostering cross-disciplinary insights and innovations.
Findings
Soft robots can test evolutionary hypotheses.
Robots outperform rigid systems in unstructured environments.
Bio-inspired designs enhance marine exploration capabilities.
Abstract
The ocean vast unexplored regions and diverse soft-bodied marine organisms have spurred interest in bio-inspired underwater soft robotics. Recent advances have enabled new capabilities in underwater movement, sensing, and interaction. However, these efforts are largely unidirectional, with biology guiding robotics while insights from robotics rarely feed back into biology. Here we propose a holistic, bidirectional framework that integrates biological principles, robotic implementation, and biological validation. We show that soft robots can serve as experimental tools to probe biological functions and even test evolutionary hypotheses. Their inherent compliance also allows them to outperform rigid systems in unstructured environments, supporting applications in marine exploration, manipulation, and medicine. Looking forward, we introduce bio-universal-inspired robotics, a paradigm that…
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Taxonomy
TopicsModular Robots and Swarm Intelligence · Micro and Nano Robotics · Underwater Vehicles and Communication Systems
