国内科学团队提出机器人全新范式
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<div class="ce-paragraph cdx-block ce-paragraph--left">第一机器人网获悉,近日南方科技大学机械与能源工程系讲席教授戴建生、副教授冯慧娟团队在美国《国家科学院院刊》发表论文称,团队打破了传统人工智能主要依赖算法和算力的局限,将“智能”直接赋予物理层面的“结构”,提出了具有前瞻性的“结构智能”理念,为未来机器人设计、材料科学及仿生学开辟了全新范式。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">研究团队从经典Flexagon折纸的拓扑本质出发,将传统折纸的“面”转化为连杆、“折痕”转化为运动关节,创新提出全手性Flexagon智能结构。通过迭代等效分析,揭示了该结构在无限翻转过程的运动学原理,即基于分岔运动诱导的结构循环变构机制。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">研究人员还刻画了该结构实现无限外翻与表面重构的全过程。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">依托上述拓扑理论框架,研究团队以翻转周期与对称阶数为基本变量,衍生出对称性变体、周期性变体、对称-周期混合变体及递归变体四大构型,成功构建了一个庞大且多元的Flexagon机构家族。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">该家族中的所有智能结构,均具备无限翻转与表面重构的核心能力。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">在此基础上,团队提出空间镶嵌与铰接堆叠技术,成功将多个独立的Flexagon单元无缝组合成大型面板及复杂结构,攻克了传统Flexagon难以集群互联的工程壁垒,成功构建出一系列可编程、可大规模展开的物理网络,实现互联与协同运动,为未来智能结构的开发与应用开辟了广阔空间。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">研究团队进一步将单向手性Flexagon结构拓展旋向可互换的双向Flexagon机构。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">这一创新设计,实现了可达表面状态的指数级跃升,并提出几何级数规律:p(p-1)g(其中p为翻转周期,g为递归生成指数)。该数学规律的发现,打破了传统机构受限于有限状态的认知壁垒,为未来可编程表面的设计确立了全新范式。</div>
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