将混合生物机器人群作为集体运动研究的有力工具:一个视角。

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Frontiers in Neurorobotics Pub Date : 2023-07-14 eCollection Date: 2023-01-01 DOI:10.3389/fnbot.2023.1215085
Amir Ayali, Gal A Kaminka
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引用次数: 0

摘要

蜂群或集体运动在自然系统中无处不在,在许多技术应用中也非常重要。因此,对这一现象的研究兴趣正在跨越学科界限。一个共同的主要问题是个体、群体和环境之间错综复杂的相互作用。然而,我们对蜂群系统的理解还存在很大的差距,这通常是由于理论上很难将体现的特性与物理代理--个体动物或机器人--联系起来。最近,在利用生物学和机器人学这两个学科的互补性方面取得了很大进展。遗憾的是,这在蜂群研究中仍不常见。具体来说,同时研究多个生物和合成代理的联合研究计划的例子非常少。在这里,我们提出了一种新颖的研究工具,它能够对蜂群集体运动中的主要问题进行独特的、紧密结合的、生物启发的和机器人辅助的研究。利用集体行为的典型模型--蝗虫若虫和我们最近开发的 Nymbots(受蝗虫启发的机器人)--我们专注于科学理解蜂群中的基本问题和差距,提供新颖的跨学科见解并分享学科思想。Nymbot-Locust 生物杂交群使我们能够研究那些在其他情况下很难甚至不可能验证的生物学假设,并发现那些在其他情况下可能会被掩盖的技术见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The hybrid bio-robotic swarm as a powerful tool for collective motion research: a perspective.

The hybrid bio-robotic swarm as a powerful tool for collective motion research: a perspective.

The hybrid bio-robotic swarm as a powerful tool for collective motion research: a perspective.

Swarming or collective motion is ubiquitous in natural systems, and instrumental in many technological applications. Accordingly, research interest in this phenomenon is crossing discipline boundaries. A common major question is that of the intricate interactions between the individual, the group, and the environment. There are, however, major gaps in our understanding of swarming systems, very often due to the theoretical difficulty of relating embodied properties to the physical agents-individual animals or robots. Recently, there has been much progress in exploiting the complementary nature of the two disciplines: biology and robotics. This, unfortunately, is still uncommon in swarm research. Specifically, there are very few examples of joint research programs that investigate multiple biological and synthetic agents concomitantly. Here we present a novel research tool, enabling a unique, tightly integrated, bio-inspired, and robot-assisted study of major questions in swarm collective motion. Utilizing a quintessential model of collective behavior-locust nymphs and our recently developed Nymbots (locust-inspired robots)-we focus on fundamental questions and gaps in the scientific understanding of swarms, providing novel interdisciplinary insights and sharing ideas disciplines. The Nymbot-Locust bio-hybrid swarm enables the investigation of biology hypotheses that would be otherwise difficult, or even impossible to test, and to discover technological insights that might otherwise remain hidden from view.

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来源期刊
Frontiers in Neurorobotics
Frontiers in Neurorobotics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
CiteScore
5.20
自引率
6.50%
发文量
250
审稿时长
14 weeks
期刊介绍: Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
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