模块化设计
宏
有限元法
多边形网格
机器人
执行机构
格子(音乐)
刚度
平面的
计算机科学
自重构模块化机器人
拓扑(电路)
结构工程
控制理论(社会学)
机械工程
工程类
人工智能
物理
声学
移动机器人
电气工程
机器人控制
计算机图形学(图像)
操作系统
程序设计语言
控制(管理)
作者
Gaurav Singh,Aaron M. Dollar
标识
DOI:10.1109/lra.2022.3166106
摘要
Modular Active Cell Robots (MACROs) is an approach for modular robot hardware that leverages simple components such as actuators and compliant joints to make large deformable robotic structures. In this letter, we consider the planar triangular lattice and its sparser variants as the candidate mesh topologies for MACROs. Through Finite Element (FE) simulations, we quantify the deformations obtained for different choices of edges being actuated in the MACRO mesh. Further, we use this data to identify optimal actuation strategies for a target deformation. We demonstrate a trade-off between passive stiffness and actuation energy and thereafter, we refine the triangular lattice by removing edges to reduce the actuation energy without a significant reduction in stiffness. We also identify the refined meshes optimal for desired specifications.
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