刚度
可扩展性
计算机科学
叠加原理
机器人
格子(音乐)
各向异性
拓扑(电路)
机械工程
模拟
材料科学
结构工程
人工智能
工程类
物理
数学
声学
数学分析
电气工程
量子力学
数据库
作者
Qinghua Guan,Benhui Dai,Hung Hon Cheng,Josie Hughes
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-07-16
卷期号:11 (29)
标识
DOI:10.1126/sciadv.adu9856
摘要
Natural musculoskeletal systems combine soft tissues and rigid structures to achieve diverse mechanical behaviors that are both adaptive and precise. Inspired by these systems, we propose a programming method for designing bioinspired soft-rigid robotic structures using lattice geometries made from a single material. By introducing previously unknown approaches to the geometric design of unit cells within lattice structures—based on continuous blending and superposition of existing lattice geometries—we can precisely tune stiffness and anisotropy. These designs enable the creation of three-dimensional structures with spatially varying mechanical properties, ranging from tissue-like compliance to rigid, bone-like load-bearing capabilities. Using these methods, we fabricated a musculoskeletal-inspired tendon-driven robotic elephant that integrates joints with programmable bending profiles, achieving a continuously soft trunk. Our lattice geometry generation techniques allow for over 1 million discrete configurations and infinite geometric variations, offering a scalable solution for designing lightweight, adaptable robots.
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