Department of Zoology, University of Oxford, Mansfield Road, Oxford OX1 3ZS, UK.
Department of Computer Science, Aarhus Universitet, Åbogade 34, 8200 Aarhus, Denmark.
J R Soc Interface. 2020 Nov;17(172):20200569. doi: 10.1098/rsif.2020.0569. Epub 2020 Nov 11.
In soft robotics, bio-inspiration ranges from hard- to software. Orb web spiders provide excellent examples for both. Adapted sensors on their legs may use morphological computing to fine-tune feedback loops that supervise the handling and accurate placement of silk threads. The spider's webs embody the decision rules of a complex behaviour that relies on navigation and piloting laid down in silk by behaviour charting inherited rules. Analytical studies of real spiders allow the modelling of path-finding construction rules optimized in evolutionary algorithms. We propose that deconstructing spiders and unravelling webs may lead to adaptable robots able to invent and construct complex novel structures using relatively simple rules of thumb.
在软机器人学中，生物启发的范围从硬件到软件。圆蛛为这两者都提供了极好的例子。它们腿上的适应传感器可能使用形态计算来微调反馈回路，以监督丝线的处理和准确放置。蜘蛛的网体现了一种复杂行为的决策规则，这种行为依赖于导航和由行为图表化遗传规则设定的在丝线上的领航。对真正的蜘蛛进行的分析研究允许对通过进化算法优化的寻路构造规则进行建模。我们提出，解构蜘蛛和解开蛛网可能会导致具有适应性的机器人，这些机器人能够使用相对简单的经验法则发明和构建复杂的新结构。
