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However current systems face inherent limitations in unimodal sensing and cross\u2010modal coordination, which hinder their performance in dynamic contact\u2010rich operations. Herein, we present a fabric\u2010based event\u2010driven tactile interface that features an innovative woven structure with cross\u2010fiber electrodes. It achieves breakthroughs in sensitivity (246.3\u00a0kPa\n                    <jats:sup>\u22121<\/jats:sup>\n                    ), pressure detection (&gt;450\u00a0kPa), and waterproof robustness. This interface enables millisecond\u2010level pressure\/slip dual\u2010mode feedback for self\u2010adaptive grasping, thereby improving the dexterous manipulation of fragile or slippery objects. For underwater scenarios, a bio\u2010inspired visual\u2013tactile fusion (VTF) architecture leverages tactile perception to compensate for visual limitations, demonstrating a high accuracy of 97.7% in complex tasks, including underwater transparent object manipulation and recognition of similar objects. Event\u2010driven tactile feedback is merged with visual semantics for decision\u2010level optimization, thereby enhancing the autonomy and adaptation of humanoid machine intelligence. It creates an innovative closed\u2010loop cross\u2010modal perception\u2013decision system that builds a direct link between environmental interaction and autonomous decision\u2010making for intelligent agent development in open\u2010world scenarios. The superior performance of the VTF architecture dynamic interaction tasks represents a crucial step toward robotic systems with advanced intelligence.\n                  <\/jats:p>","DOI":"10.1002\/adma.202519665","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T12:34:43Z","timestamp":1770899683000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Bioinspired Cross\u2010Modal Self\u2010Adaptive Machine Intelligence for Event\u2010Driven and Ultrahigh\u2010Precision Underwater Grasping"],"prefix":"10.1002","volume":"38","author":[{"given":"Hongyu","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Electronic Science Xiamen University  Xiamen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zijian","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Electronic Science Xiamen University  Xiamen 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Key Laboratory for Advanced Energy Materials and Technologies School of Materials Science and Engineering University of Science and Technology Beijing  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanjin","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering Nanyang Technological University  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7772-3280","authenticated-orcid":false,"given":"Xinqin","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Electronic Science Xiamen University  Xiamen 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