在深海高水压环境下为水下机器人适应性增压进行生物启发式3DTactile Force传感器.
A Bioinspired 3D Tactile Force Sensor under Deep-Sea High Hydrostatic Pressure Environments for Underwater Robotic Adaptive Grasping.
作者
Authors
Liu Yuchao, Chen Yibin, Liu Zijie, Qin Haihong, Guo Jiajie
期刊
Journal
暂无期刊信息
年份
Year
2026
分类
Category
国家
Country
-
DOI
10.1021/acsami.5c20573
📝 摘要
Abstract
Underwater tactile force sensing is crucial for achieving nondestructive and stable object manipulation in ocean robotics, especially in deep-sea environments where traditional vision-based methods are not available due to extreme darkness. However, deep-sea high hydrostatic pressure (>10 MPa) brings in serious interferences on tactile force measurements (<0.01 MPa), leading to few available deep-sea tactile sensors. To solve this problem, this paper develops a biomimetic deep-sea three-dimensional force sensor (3D-DSFS) inspired by the excellent adaptability of deep-sea organisms, where an open lattice sensing layer was developed by flexible 3D printing to balance internal and external pressures of sensors, allowing it to withstand extreme deep-sea hydrostatic pressures. Also, mimicking the hierarchical architecture of human skin, a stratified magnetoelastic sensor was developed for 3D force monitoring. In laboratory pressure-chamber tests, the results demonstrate that the 3D-DSFS is robust to hydrostatic pressures (signals drift <5% within 0-100 MPa) and can reliably detect static and dynamic 3D forces (average error <5%). Integrated into an underwater robotic gripper operating in about 100-m real-world deep-sea environments, the 3D-DSFS can still reliably monitor 3D forces. The 3D-DSFS was used for real-time robotic grasping control, achieving nondestructive and antislippage grasping (unlike sensorless grippers causing damage or slippage). With excellent deep-sea adaptability and accurate 3D force sensing, the 3D-DSFS is anticipated to improve deep-sea robotic operations for ocean engineering fields.
📊 文章统计
Article Statistics
基础数据
Basic Stats
38
浏览
Views
0
下载
Downloads
3
引用
Citations
引用趋势
Citation Trend
阅读国家分布
Country Distribution
阅读机构分布
Institution Distribution
月度浏览趋势
Monthly Views