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.

中文翻译：

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蜘蛛网启发软机器人


在软机器人技术中，生物灵感的范围从硬件到软件。球网蜘蛛为两者提供了很好的例子。腿上经过改造的传感器可以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。蜘蛛网体现了复杂行为的决策规则，该规则依赖于通过行为图表继承规则以丝线方式制定的导航和驾驶。对真实蜘蛛的分析研究允许对进化算法中优化的寻路构造规则进行建模。我们提出，解构蜘蛛和解开网可能会导致适应性强的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颖结构。