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
量子力学
数据库
电气工程
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): eadu9856-eadu9856
被引量:20
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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