脆性
质量分布
软机器人
工作(物理)
计算机科学
机器人
模拟
机械
控制理论(社会学)
物理
人工智能
工程类
机械工程
天体物理学
热力学
银河系
控制(管理)
作者
Zach J. Patterson,Henry C. Astley,Carmel Majidi
标识
DOI:10.1088/1748-3190/adbecb
摘要
Abstract Most walking organisms tend to have relatively light limbs and heavy bodies in order to facilitate rapid limb motion. However, the limbs of brittle stars (Class Ophiuroidea) are primarily comprised of dense skeletal elements, with potentially much higher mass and density compared to the body disk. To date, little is understood about how the relatively unique distribution of mass in these animals influences their locomotion. In this work, we use a brittle star inspired soft robot and computational modeling to examine how the distribution of mass and density in brittle stars affects their movement. The soft robot is fully untethered, powered using embedded shape memory alloy (SMA) actuators, and designed based on the morphology of a natural brittle star. Computational simulations of the brittle star model are performed in a differentiable robotics physics engine in conjunction with an iterative linear quadratic regulator (iLQR) to explore the relationship between different mass distributions and their optimal gaits. The results from both methods indicate that there are robust physical advantages to having the majority of the mass concentrated in the limbs for brittle star-like locomotion, providing insight into the physical forces at play.
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