journal article·2026-04

Underwater Bionic Tactile Sensing: Biological Perception Mechanisms, Technological Progress, and Future Challenges

Xinyue Zhou, Yuanzheng Li, Jianhua Liu, Xingfu Wan, Gengchen Xu, Aiqiang Yu, Zongchen Su, Bowen Dong, Kecheng Zhang, Fanqing Hu, Yuchen Li, Xinlei Liu, Peng Xu, Siyuan Wang, Minyi Xu

Advanced Materials Technologies· Volume 11· Issue 8
Publisher page

Abstract

ABSTRACT Marine organisms are known to rely on highly sensitive tactile organs to accurately perceive external disturbances, particularly in low‐light or completely dark underwater environments. These tactile perceptual mechanisms serve as ideal biological prototypes for the development of advanced underwater sensing devices. This manuscript provides a comprehensive review of the perceptual mechanisms of marine organisms and their technological translations. The intricate sensory systems of three representative species are examined: the lateral line system of fish, featuring both superficial and canal neuromasts for precise fluid dynamic detection; the undulating morphology of seal whiskers, specialized for hydrodynamic trail tracking; and the highly flexible tentacles of certain marine organisms, capable of detecting underwater pressure and deformation with exceptional sensitivity. Inspired by these biological mechanisms, biomimetic tactile sensors have been developed based on triboelectric, piezoelectric, piezoresistive, capacitive, magnetic, and optical fiber principles. Their broad application potential has been highlighted in tasks such as underwater flow velocity monitoring, vortex detection, and underwater object manipulation. Finally, current challenges, including environmental interference and limited durability, are discussed, along with future directions such as multimodal sensing integration and AI‐assisted data processing, providing valuable insights for advancing next‐generation underwater tactile sensing technologies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Marine animal studies overview · Advanced Sensor and Energy Harvesting Materials · Marine Invertebrate Physiology and Ecology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Dalian Key Lab of Marine Micro/Nano Energy and Self‐Powered Systems Marine Engineering College Dalian Maritime University Dalian China

Intelligent Biomimetic Design Lab Peking University Beijing China

Funding

China Postdoctoral Science Foundation · National Natural Science Foundation of China

References (100+)

Show source-provided references
1. N.Krasnokutska T.Danko andN.Shyriaieva “Ecosystem‐based Technology Innovation Management in the European Renewable Energy Sector ” in2023 IEEE 4th KhPI Week on Advanced Technology (KhPIWeek)(IEEE 2023) 1–6 https://doi.org/10.1109/KhPIWeek61412.2023.10312849.10.1109/KhPIWeek61412.2023.10312849 ↗
2. 10.46505/IJBI.2021.321310.46505/IJBI.2021.3213 ↗
3. X.Ye “Research on Biodiversity and Ecological Environment Cycle: Interaction and Balance Mechanisms ” inSHS Web of Conferences(edp Sciences 2024) 02029 https://doi.org/10.1051/shsconf/202420002029.10.1051/shsconf/202420002029 ↗
4. 10.5281/ZENODO.1515301810.5281/ZENODO.15153018 ↗
5. 10.3390/en1521812610.3390/en15218126 ↗
6. 10.3389/fmars.2023.109185510.3389/fmars.2023.1091855 ↗
7. 10.3390/jmse1010145610.3390/jmse10101456 ↗
8. 10.1016/j.jmst.2021.10.01410.1016/j.jmst.2021.10.014 ↗
9. 10.1109/TAES.2020.300370310.1109/TAES.2020.3003703 ↗
10. Challenges Limitations and Measurement Strategies to Ensure Data Quality in Deep‐sea Sensors Accessed2025 https://www.frontiersin.org/journals/marine‐science/articles/10.3389/fmars.2023.1152236/full.
11. Review of Underwater Sensing Technologies and Applications Accessed2025 https://www.mdpi.com/1424‐8220/21/23/7849.10.3390/s21237849 ↗
12. 10.3390/jmse1107146910.3390/jmse11071469 ↗
13. 10.1016/j.sigpro.2025.11004110.1016/j.sigpro.2025.110041 ↗
14. 10.1002/admt.20250070410.1002/admt.202500704 ↗
15. N.Yang M. R.Amini M.Johnson‐Roberson andJ.Sun “Real‐time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle ” in2018 IEEE Conference on Decision and Control (CDC)(IEEE 2018) 4321–4326 https://doi.org/10.1109/CDC.2018.8619844.10.1109/CDC.2018.8619844 ↗
16. 10.1016/j.oceaneng.2025.12135310.1016/j.oceaneng.2025.121353 ↗
17. Review of pH Sensing Materials from Macro‐to Nano‐scale: Recent Developments and Examples of Seawater Applications 2025 https://scholar.google.com.hk/scholar?hl=zh‐CN&as_sdt=0%2C5&q=Review+of+pH+sensing+materials+from+macro‐to+nano‐scale%3A+Recent+developments+and+examples+of+seawater+applications&btnG=.
18. S.RazandD.Breitkopf “Natural Perception Hypothesis: How Natural Selection Shapes Species‐Specific Sensory Experiences and Influences Biodiversity ”Global Journal of Ecology9no.2 (2024):132–144.10.17352/gje.000106 ↗
19. 10.1186/s12862‐024‐02214‐510.1186/s12862‐024‐02214‐5 ↗
20. 10.1016/j.cjac.2023.10029910.1016/j.cjac.2023.100299 ↗
21. 10.1063/5.019419410.1063/5.0194194 ↗
22. 10.1121/10.002256510.1121/10.0022565 ↗
23. 10.1038/s41467‐025‐56115‐210.1038/s41467‐025‐56115‐2 ↗
24. 10.1016/j.isci.2023.10672210.1016/j.isci.2023.106722 ↗
25. 10.1242/jeb.0198210.1242/jeb.01982 ↗
26. 10.1007/BF0039322010.1007/BF00393220 ↗
27. 10.3390/biomimetics912077310.3390/biomimetics9120773 ↗
28. 10.1002/ar.2473910.1002/ar.24739 ↗
29. 10.1002/advs.20220306210.1002/advs.202203062 ↗
30. 10.1038/am.2017.18310.1038/am.2017.183 ↗
31. 10.1021/acsomega.2c0009810.1021/acsomega.2c00098 ↗
32. 10.1016/j.compositesb.2022.10961210.1016/j.compositesb.2022.109612 ↗
33. 10.3390/s2311528110.3390/s23115281 ↗
34. 10.1002/adhm.20250290110.1002/adhm.202502901 ↗
35. C.Abah A. L.Orekhov G. L.Johnston P.Yin H.Choset andN.Simaan “A Multi‐Modal Sensor Array for Safe Human‐Robot Interaction and Mapping ” in2019 International Conference on Robotics and Automation (ICRA)(IEEE 2019) 3768–3774 https://doi.org/10.1109/ICRA.2019.8793466.10.1109/ICRA.2019.8793466 ↗
36. 10.1038/s41378-024-00749-710.1038/s41378-024-00749-7 ↗
37. 10.1016/j.matdes.2024.11310910.1016/j.matdes.2024.113109 ↗
38. 10.20517/ss.2021.0510.20517/ss.2021.05 ↗
39. 10.1039/D3TA06976A10.1039/D3TA06976A ↗
40. 10.1016/j.mechatronics.2022.10289810.1016/j.mechatronics.2022.102898 ↗
41. 10.1061/JCEMD4.COENG‐1581910.1061/JCEMD4.COENG‐15819 ↗
42. 10.1002/smll.20230849110.1002/smll.202308491 ↗
43. 10.1002/admt.20250007210.1002/admt.202500072 ↗
44. 10.1007/s40820‐022‐00799‐410.1007/s40820‐022‐00799‐4 ↗
45. 10.1016/j.sna.2025.11645110.1016/j.sna.2025.116451 ↗
46. 10.1002/admt.20210109810.1002/admt.202101098 ↗
47. 10.1016/j.nanoen.2025.11100710.1016/j.nanoen.2025.111007 ↗
48. 10.1002/adma.20242050110.1002/adma.202420501 ↗
49. 10.1038/s41528‐022‐00160‐010.1038/s41528‐022‐00160‐0 ↗
50. 10.1007/s12274‐024‐6903‐310.1007/s12274‐024‐6903‐3 ↗
51. 10.1002/admt.20240105310.1002/admt.202401053 ↗
52. 10.1089/soro.2021.016610.1089/soro.2021.0166 ↗
53. 10.1016/j.sna.2023.11487510.1016/j.sna.2023.114875 ↗
54. 10.1242/jeb.13615010.1242/jeb.136150 ↗
55. 10.1111/j.1469‐185X.1963.tb00654.x10.1111/j.1469‐185X.1963.tb00654.x ↗
56. 10.1111/j.1749‐4877.2008.00131.x10.1111/j.1749‐4877.2008.00131.x ↗
57. Coombs S. · 2014
58. 10.1038/3504070610.1038/35040706 ↗
59. 10.1360/N972016‐0070610.1360/N972016‐00706 ↗
60. 10.1002/cne.2045010.1002/cne.20450 ↗
61. 10.1523/JNEUROSCI.4372-07.200810.1523/JNEUROSCI.4372-07.2008 ↗
62. 10.1098/rsbl.2009.099510.1098/rsbl.2009.0995 ↗
63. 10.1007/BF0256867610.1007/BF02568676 ↗
64. 10.1159/00011434410.1159/000114344 ↗
65. 10.1111/j.1749‐4877.2008.00130.x10.1111/j.1749‐4877.2008.00130.x ↗
66. 10.1242/jeb.205.10.147110.1242/jeb.205.10.1471 ↗
67. Coral Disease & Health Consortium Microscopic Anatomy 2025 https://cdhc.noaa.gov/coral‐biology/microscopic‐anatomy/.
68. 10.1007/BF0058278910.1007/BF00582789 ↗
69. 10.1387/ijdb.113472ab10.1387/ijdb.113472ab ↗
70. 10.1002/jps.2081310.1002/jps.20813 ↗
71. 10.3389/fmars.2022.85710910.3389/fmars.2022.857109 ↗
72. 10.1098/rspb.2020.018010.1098/rspb.2020.0180 ↗
73. 10.1007/s00441‐020‐03343‐110.1007/s00441‐020‐03343‐1 ↗
74. 10.1126/science.256469810.1126/science.2564698 ↗
75. 10.1038/s41598‐023‐28476‐510.1038/s41598‐023‐28476‐5 ↗
76. 10.1007/BF0040231710.1007/BF00402317 ↗
77. 10.1186/gb‐2011‐12‐3‐21810.1186/gb‐2011‐12‐3‐218 ↗
78. 10.7554/eLife.5008410.7554/eLife.50084 ↗
79. 10.1093/acrefore/9780190264086.013.14610.1093/acrefore/9780190264086.013.146 ↗
80. 10.1002/jmor.1054810.1002/jmor.10548 ↗
81. Octopus Arms Have Segmented Nervous Systems to Power Extraordinary Movements | Biological Sciences Division. The University of Chicago Accessed August 5 2025 https://biologicalsciences.uchicago.edu/news/octopus‐arms‐segmented‐nervous‐system.
82. 10.1016/j.cell.2020.09.00810.1016/j.cell.2020.09.008 ↗
83. 10.1126/science.106097610.1126/science.1060976 ↗
84. Sensational Sucker: the Neural Complexity of the Octopus Organ | Scientific American Accessed2025 https://www.scientificamerican.com/article/sensational‐sucker/.
85. 10.1109/LRA.2023.326337710.1109/LRA.2023.3263377 ↗
86. 10.1007/s00359‐024‐01696‐410.1007/s00359‐024‐01696‐4 ↗
87. A.Tekinalp N.Naughton S. H.Kim et al. “Topology Dynamics and Control of an Octopus‐analog Muscular Hydrostat ” (2023) https://doi.org/10.48550/arXiv.2304.08413.
88. Octopus Arms Have Segmented Nervous Systems to Power Extraordinary Movements | Biological Sciences Division | The University of Chicago 2025 https://biologicalsciences.uchicago.edu/news/octopus‐arms‐segmented‐nervous‐system.
89. 10.1242/jeb.18134710.1242/jeb.181347 ↗
90. 10.1016/j.pneurobio.2012.05.01310.1016/j.pneurobio.2012.05.013 ↗
91. 10.1098/rstb.2011.016710.1098/rstb.2011.0167 ↗
92. 10.1121/1.273448710.1121/1.2734487 ↗
93. 10.2307/137854510.2307/1378545 ↗
94. 10.1111/j.1469‐7998.1989.tb05008.x10.1111/j.1469‐7998.1989.tb05008.x ↗
95. 10.1163/002829680X0012210.1163/002829680X00122 ↗
96. 10.1111/j.1469‐7998.1979.tb03428.x10.1111/j.1469‐7998.1979.tb03428.x ↗
97. 10.1038/2830310.1038/28303 ↗
98. 10.1126/science.106051410.1126/science.1060514 ↗
99. 10.1242/jeb.0270810.1242/jeb.02708 ↗
100. 10.1242/jeb.04321610.1242/jeb.043216 ↗