3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision

Biomimetic underwater robots have attracted increasing attention as tools for aquatic exploration and environmental research, yet achieving compact systems that balance fabrication simplicity, propulsion efficiency, and three‐dimensional (3D) locomotion remains challenging. This paper presents a shark‐inspired underwater robot based on a 3D‐printed soft–hard hybrid design that integrates propulsion, buoyancy control, and onboard vision within a fully untethered platform (225 mm, 407 g). The system combines a rigid internal skeleton with a compliant outer skin, enabling both structural integration and large‐amplitude deformation for propulsion. The robot employs a pump‐driven buoyancy control mechanism that modulates body mass by ∼2.4%, enabling vertical locomotion and is expected to regulate depth without continuous thrust. Also, the robot achieves 3D locomotion, including forward swimming at ∼0.29 BL·s −1 , turning with radii down to 0.99 BL, and ascent/descent at ∼50 mm·s −1 . In addition, onboard monocular vision enables real‐time target tracking via closed‐loop control. This work introduces a reproducible soft–hard hybrid design framework that integrates propulsion and buoyancy control within a compact platform, providing a practical foundation for underwater robotic systems.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2026-04-30
DOI
https://doi.org/10.1002/aisy.70417
Primary Topic
Biomimetic flight and propulsion mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision

Byeongwook Jo, Shotaro Saito, Minghao Nie, Shoji Takeuchi
Advanced Intelligent Systems
Biomimetic flight and propulsion mechanisms
article

3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision

Byeongwook Jo, Shotaro Saito, Minghao Nie, Shoji Takeuchi
article en

Abstract

Biomimetic underwater robots have attracted increasing attention as tools for aquatic exploration and environmental research, yet achieving compact systems that balance fabrication simplicity, propulsion efficiency, and three‐dimensional (3D) locomotion remains challenging. This paper presents a shark‐inspired underwater robot based on a 3D‐printed soft–hard hybrid design that integrates propulsion, buoyancy control, and onboard vision within a fully untethered platform (225 mm, 407 g). The system combines a rigid internal skeleton with a compliant outer skin, enabling both structural integration and large‐amplitude deformation for propulsion. The robot employs a pump‐driven buoyancy control mechanism that modulates body mass by ∼2.4%, enabling vertical locomotion and is expected to regulate depth without continuous thrust. Also, the robot achieves 3D locomotion, including forward swimming at ∼0.29 BL·s −1 , turning with radii down to 0.99 BL, and ascent/descent at ∼50 mm·s −1 . In addition, onboard monocular vision enables real‐time target tracking via closed‐loop control. This work introduces a reproducible soft–hard hybrid design framework that integrates propulsion and buoyancy control within a compact platform, providing a practical foundation for underwater robotic systems.

Advanced Intelligent Systems
Kanagawa Industrial Technology Center (JP), The University of Tokyo (JP)
Life below water
Openalex Percentile: Top 2%
Biomimetic flight and propulsion mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.