ReviewFrontiers in bioengineering and biotechnology2023
Recent progress on underwater soft robots: adhesion, grabbing, actuating, and sensing.
Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A Magnetic-Driven Self-Rotation-Stabilized Miniature Swimming Robot.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From Biological Mechanisms to Task-Oriented Design Principles: A Critical Review of Fish-like Biomimetic Robots.Biomimetics (Basel, Switzerland) · 2026Review
- Deep-Sea Soft Bionic Fish: Advances in Pressure-Tolerant Design, Soft Actuation, and Autonomous Systems.Biomimetics (Basel, Switzerland) · 2026Review
- Vacuum-Laser Fabrication of Programmable Soft Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Bioinspired bioadhesion: translating nature's adhesive strategies into regenerative medicine.Med-X · 2026Review
- Design and Sensing Frameworks of Soft Octopus-Inspired Grippers Toward Artificial Intelligence.Biomimetics (Basel, Switzerland) · 2025Review
- Self-Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Fabrication of Soft Robotics by Additive Manufacturing: From Materials to Applications.Chemical reviews · 2025Review
- Design and Control of Dual-Segment Multi-Wire Driven Bionic Soft Arm with Integrated Suction Cups.Biomimetics (Basel, Switzerland) · 2025Article
- Continuum Robots and Magnetic Soft Robots: From Models to Interdisciplinary Challenges for Medical Applications.Micromachines · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The research on biomimetic robots, especially soft robots with flexible materials as the main structure, is constantly being explored. It integrates multi-disciplinary content, such as bionics, material science, mechatronics engineering, and control theory, and belongs to the cross-disciplinary field related to mechanical bionics and biological manufacturing. With the continuous development of various related disciplines, this area has become a hot research field. Particularly with the development of practical technologies such as 3D printing technology, shape memory alloy, piezoelectric materials, and hydrogels at the present stage, the functions and forms of soft robots are constantly being further developed, and a variety of new soft robots keep emerging. Soft robots, combined with their own materials or structural characteristics of large deformation, have almost unlimited degrees of freedom (DoF) compared with rigid robots, which also provide a more reliable structural basis for soft robots to adapt to the natural environment. Therefore, soft robots will have extremely strong adaptability in some special conditions. As a type of robot made of flexible materials, the changeable pose structure of soft robots is especially suitable for the large application environment of the ocean. Soft robots working underwater can better mimic the movement characteristics of marine life in the hope of achieving more complex underwater tasks. The main focus of this paper is to classify different types of underwater organisms according to their common motion modes, focusing on the achievements of some bionic mechanisms in different functional fields that have imitated various motion modes underwater in recent years (e.g., the underwater sucking glove, the underwater Gripper, and the self-powered soft robot). The development of various task types (e.g., grasping, adhesive, driving or swimming, and sensing functions) and mechanism realization forms of the underwater soft robot are described based on this article.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.