Extreme dynamic symmetry enables omnidirectional and multifunctional robots

机器人 全向天线 对称(几何) 执行机构 计算机科学 各向同性 机器人学 局部对称性 反射对称性 弹道 人工智能 拓扑(电路) 可达性 控制理论(社会学) 群体行为 度量(数据仓库) 控制工程 树遍历 对象(语法) 旋转对称性 弹性(材料科学) 敏捷软件开发 钥匙(锁) 移动机器人 工程类 线性执行器 人工神经网络 接口(物质) 分布式计算 特征(语言学)
作者
Jiaxun Liu,Boxi Xia,Boyuan Chen
出处
期刊:Science robotics [American Association for the Advancement of Science]
卷期号:11 (114): eaec1725-eaec1725
标识
DOI:10.1126/scirobotics.aec1725
摘要

Symmetry is a central organizing principle in natural systems, yet its use as a unifying design strategy in robotics has largely remained limited to geometric form. We show that symmetry can instead be leveraged at the level of dynamic actuation capability. We introduce dynamic symmetry, the uniformity of a robot's attainable center-of-mass accelerations, and formalize it through a measure coined as dynamic isotropy. Across more than 1000 simulated morphologies, we found that higher dynamic symmetry consistently improved trajectory tracking, task success, robustness, resiliency, and energy efficiency, with the benefits becoming most pronounced as dynamic isotropy approached its theoretical limit. To study this regime systematically, we developed Argus, a family of spherical robots designed to explore the effects of increasing dynamic symmetry. Members of the Argus family vary in their actuation geometry and dynamic symmetry level while sharing a common architectural principle: radially oriented linear actuators that directly shape the robot's center-of-mass dynamics. Among them, we built a physical 20-leg Argus variant that achieved near-extreme dynamic isotropy and demonstrated orientation-invariant locomotion, agile traversal of cluttered and deformable terrain, rapid self-stabilization, and resilience to partial actuator failures. Its distributed sensing further enabled omnidirectional perception and object interaction during continuous motion. These results show that designing robots for symmetry not only in morphology but also in their attainable dynamics provides a powerful and general pathway toward agility, robustness, and multifunctionality in uncertain terrestrial and extraterrestrial environments.
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