Bonnet Frank, Mills Rob, Szopek Martina, Schönwetter-Fuchs Sarah, Halloy José, Bogdan Stjepan, Correia Luís, Mondada Francesco, Schmickl Thomas
Robotic Systems Laboratory, École Polytechnique Fédérale de Lausanne, EPFL STI IMT LSRO, ME B3 30 (Bâtiment ME), Station 9 1015 Lausanne, Switzerland.
BioISI, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisbon, Portugal.
Sci Robot. 2019 Mar 20;4(28). doi: 10.1126/scirobotics.aau7897.
Self-organized collective behavior has been analyzed in diverse types of gregarious animals. Such collective intelligence emerges from the synergy between individuals, which behave at their own time and spatial scales and without global rules. Recently, robots have been developed to collaborate with animal groups in the pursuit of better understanding their decision-making processes. These biohybrid systems make cooperative relationships between artificial systems and animals possible, which can yield new capabilities in the resulting mixed group. However, robots are currently tailor-made to successfully engage with one animal species at a time. This limits the possibilities of introducing distinct species-dependent perceptual capabilities and types of behaviors in the same system. Here, we show that robots socially integrated into animal groups of honeybees and zebrafish, each one located in a different city, allowing these two species to interact. This interspecific information transfer is demonstrated by collective decisions that emerge between the two autonomous robotic systems and the two animal groups. The robots enable this biohybrid system to function at any distance and operates in water and air with multiple sensorimotor properties across species barriers and ecosystems. These results demonstrate the feasibility of generating and controlling behavioral patterns in biohybrid groups of multiple species. Such interspecies connections between diverse robotic systems and animal species may open the door for new forms of artificial collective intelligence, where the unrivaled perceptual capabilities of the animals and their brains can be used to enhance autonomous decision-making, which could find applications in selective "rewiring" of ecosystems.
自组织集体行为已在多种群居动物中得到分析。这种集体智慧源于个体之间的协同作用,个体在自身的时间和空间尺度上行动,且没有全局规则。最近,人们开发了机器人,使其与动物群体协作,以更好地理解它们的决策过程。这些生物混合系统使人工系统与动物之间的合作关系成为可能,这可以在由此产生的混合群体中产生新的能力。然而,目前的机器人是为一次成功与一种动物物种互动而量身定制的。这限制了在同一系统中引入不同物种依赖的感知能力和行为类型的可能性。在这里,我们展示了社交融入蜜蜂和斑马鱼动物群体的机器人,它们分别位于不同的城市,从而使这两个物种能够相互作用。两个自主机器人系统与两个动物群体之间出现的集体决策证明了这种种间信息传递。这些机器人使这个生物混合系统能够在任何距离发挥作用,并在水和空气中运行,具有跨越物种障碍和生态系统的多种传感器运动特性。这些结果证明了在多物种生物混合群体中生成和控制行为模式的可行性。不同机器人系统与动物物种之间的这种种间联系可能为新形式的人工集体智能打开大门,在这种智能中,动物及其大脑无与伦比的感知能力可用于增强自主决策,这可能在生态系统的选择性“重新布线”中找到应用。