Lazic Dajana, Schmickl Thomas
Artificial Life Lab, Department of Zoology, Institute of Biology, University of Graz, Graz, Austria.
Bioinspir Biomim. 2023 Mar 27;18(3). doi: 10.1088/1748-3190/acc0b9.
We study whether or not a group of biomimetic waggle dancing robots is able to significantly influence the swarm-intelligent decision making of a honeybee colony, e.g. to avoid foraging at dangerous food patches using a mathematical model. Our model was successfully validated against data from two empirical experiments: one examined the selection of foraging targets and the other cross inhibition between foraging targets. We found that such biomimetic robots have a significant effect on a honeybee colony's foraging decision. This effect correlates with the number of applied robots up to several dozens of robots and then saturates quickly with higher robot numbers. These robots can reallocate the bees' pollination service in a directed way towards desired locations or boost it at specific locations, without having a significant negative effect on the colony's nectar economy. Additionally, we found that such robots may be able to lower the influx of toxic substances from potentially harmful foraging sites by guiding the bees to alternative places. These effects also depend on the saturation level of the colony's nectar stores. The more nectar is already stored in the colony, the easier the bees are guided by the robots to alternative foraging targets. Our study shows that biomimetic and socially immersive biomimetic robots are a relevant future research target in order to support (a) the bees by guiding them to safe (pesticide free) places, (b) the ecosystem via boosted and directed pollination services and (c) human society by supporting agricultural crop pollination, thus increasing our food security this way.
我们研究了一组仿生摆尾舞机器人是否能够显著影响蜂群的群体智能决策,例如使用数学模型来避免在危险的食物源觅食。我们的模型已根据两个实证实验的数据成功验证:一个实验研究了觅食目标的选择,另一个实验研究了觅食目标之间的交叉抑制。我们发现,此类仿生机器人对蜂群的觅食决策有显著影响。这种影响与应用机器人的数量相关,在应用几十台机器人之前,影响与机器人数量成正比,之后随着机器人数量增加,影响迅速饱和。这些机器人可以有针对性地将蜜蜂的授粉服务重新分配到期望的地点,或者在特定地点增加授粉服务,而不会对蜂群的花蜜经济产生显著负面影响。此外,我们发现此类机器人可能能够通过引导蜜蜂前往其他地方,减少来自潜在有害觅食地点的有毒物质流入。这些影响还取决于蜂群花蜜储存的饱和程度。蜂群中储存的花蜜越多,蜜蜂就越容易被机器人引导到其他觅食目标。我们的研究表明,仿生和具有社会沉浸式的仿生机器人是未来一个相关的研究目标,以便(a)通过引导蜜蜂前往安全(无农药)的地方来支持蜜蜂,(b)通过增强和定向授粉服务来支持生态系统,以及(c)通过支持农作物授粉来支持人类社会,从而以这种方式提高我们的粮食安全。