Energy Harvesting for Robots with Adaptive Morphology.

IF 6.4 2区 计算机科学 Q1 ROBOTICS Soft Robotics Pub Date : 2023-04-01 DOI:10.1089/soro.2021.0138
Shiv A Katiyar, Loong Yi Lee, Fumiya Iida, Surya G Nurzaman
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Abstract

Robots primarily made of soft and elastic materials have potential applications such as traveling in confined spaces due to their adaptive morphology. However, their energy efficiency is still subject to improvement. Although a possible approach to increase efficiency is by harvesting the energy used during their behavioral motion, it is not trivial to do so due to their complex dynamics. This work seeks to pioneer a study that exploits the tight coupling between a robot's adaptive morphology, control, and consequent behaviors to harvest energy and increase energy efficiency. It is hypothesized that since varying the robot's morphology may change the energy use that leads to contrasting behavior and efficiency, harvesting the robot's energy will need to be adapted to its morphology. To verify the hypothesis, we developed a shape-changing robot with an elastic structure that achieves locomotion via vibration controlled by a single motor, such that the complex dynamics of the robot can be characterized through its resonance frequencies. It will be shown that harvesting energy at opportune occasions is more important than maximizing the harvest capacity to increase energy efficiency. We will also show how the robot's shape affects energy use in locomotion and how energy harvesting will feedback additional energy that increases the magnitude and affects the robot's behavior. We conclude with an understanding of the role of the robot's morphology, that is, shape, in using the energy provided to the robot and how the understanding can be used to harvest the robot's energy to increase its efficiency.

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基于自适应形态学的机器人能量收集。
主要由柔软和弹性材料制成的机器人由于其自适应形态而具有潜在的应用,例如在密闭空间中行走。然而,它们的能源效率仍有待提高。虽然提高效率的一种可能的方法是通过收集它们在行为运动中使用的能量,但由于它们复杂的动力学,这样做并不是微不足道的。这项工作旨在开拓一项研究,利用机器人的自适应形态、控制和随之而来的行为之间的紧密耦合来收集能量并提高能源效率。据推测,由于改变机器人的形态可能会改变能量的使用,从而导致不同的行为和效率,因此收集机器人的能量将需要适应其形态。为了验证这一假设,我们开发了一种具有弹性结构的变形机器人,该机器人通过单个电机控制的振动来实现运动,从而可以通过其共振频率来表征机器人的复杂动力学。它将表明,在适当的场合收获能量比最大化收获能力更重要,以提高能源效率。我们还将展示机器人的形状如何影响运动中的能量使用,以及能量收集将如何反馈额外的能量,从而增加幅度并影响机器人的行为。最后,我们了解了机器人的形态(即形状)在利用提供给机器人的能量方面的作用,以及如何利用这种理解来收集机器人的能量以提高其效率。
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来源期刊
Soft Robotics
Soft Robotics ROBOTICS-
CiteScore
15.50
自引率
5.10%
发文量
128
期刊介绍: Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made. With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.
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