1.四川大学高分子科学与工程学院 先进高分子材料全国重点实验室 成都 610065
2.上海中镭新材料科技有限公司 上海 201306
[ "徐家壮,男,1986年生. 2009年毕业于四川大学高分子科学与工程学院高分子材料加工工程专业,获学士学位. 同年,开始攻读四川大学高分子科学与工程学院材料加工工程专业硕士学位,并被推荐提前攻博. 2012年10月~2014年4月在美国哈佛大学附属麻省总医院Orhun K Muratoglu和Ebru Oral研究小组参加国家公派联合培养博士生项目. 2014年6月于四川大学高分子科学与工程学院高分子材料加工工程专业获工学博士学位并留校任教,任讲师. 2016年晋升为副教授,2020年破格晋升为教授. 主要从事医用高分子材料加工、结构与性能关系的研究工作. 以第一/通讯作者在Advanced Materials,Macromolecules,Biomaterials等期刊发表论文70余篇,申请国家发明专利20件,已授11件,完成技术转让1件. 主持国家自然科学基金面上项目、四川省省院省校科技合作研发项目及企业合作项目等项目." ]
收稿:2026-02-06,
录用:2026-03-20,
网络首发:2026-04-17,
移动端阅览
朱桂英, 刘春艳, 邓宝, 刘博恩, 夏鹏程, 李鹏娟, 雷军, 徐家壮. 人形机器人用高分子材料研究进展. 高分子学报, doi: 10.11777/j.issn1000-3304.2026.26044.
Zhu, G. Y.; Liu, C. Y.; Deng, B.; Liu, B. E.; Xia, P. C.; Li, P. J.; Lei, J.; Xu, J. Z. Research progress in polymers for humanoid robots. Acta Polymerica Sinica (in Chinese), doi: 10.11777/j.issn1000-3304.2026.26044.
朱桂英, 刘春艳, 邓宝, 刘博恩, 夏鹏程, 李鹏娟, 雷军, 徐家壮. 人形机器人用高分子材料研究进展. 高分子学报, doi: 10.11777/j.issn1000-3304.2026.26044. DOI: CSTR: 32057.14.GFZXB.2026.7589.
Zhu, G. Y.; Liu, C. Y.; Deng, B.; Liu, B. E.; Xia, P. C.; Li, P. J.; Lei, J.; Xu, J. Z. Research progress in polymers for humanoid robots. Acta Polymerica Sinica (in Chinese), doi: 10.11777/j.issn1000-3304.2026.26044. DOI: CSTR: 32057.14.GFZXB.2026.7589.
人形机器人是实现具身智能的关键物理载体,发展潜力和应用前景巨大. 高分子材料具有低密度、高比强度、易加工及功能可设计性等优势,已逐渐用于人形机器人的承重与功能部件. 本文综述了近年来高分子材料在人形机器人中的研究成果. 重点围绕轻量化骨骼结构材料、仿生皮肤材料、智能感知-驱动材料的关键性能需求,阐述其在微观结构设计、功能网络构建、制备加工方法及构效关系等方面的研究进展. 最后,对该领域面临的挑战及发展方向进行了探讨与总结.
Humanoid robots represent a pivotal physical carrier for embodied intelligence
demonstrating significant developmental potential and broad application prospects. Polymers
featured by the merits such as low density
high specific strength
ease of processing
and tunable functionality
are increasingly being utilized in load-bearing and functional components of humanoid robots. This article reviews recent research achievements in polymers for humanoid robotic applications. Placing focus on key performance requirements for lightweight skeletal structural materials
bionic skin materials
and intelligent sensing-actuation materials
this review elaborates on advances in microstructural design
functional network construction
preparation and processing methods
as well as structure-property relationships. Finally
current challenges and future development directions in this field are discussed and summarized.
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