Soft robotics has opened a unique path to flexibility and environmental adaptability, learning from nature and reproducing biological behaviors. Nature implies answers for how to apply robots to real life. To find out how we learn from creatures to design and apply soft robots, in this Review, we propose a classification method to summarize soft robots based on different functions of biological systems: self-growing, self-healing, self-responsive, and self-circulatory. The bio-function based classification logic is presented to explain why we learn from creatures. State-of-art technologies, characteristics, pros, cons, challenges, and potential applications of these categories are analyzed to illustrate what we learned from creatures. By intersecting these categories, the existing and potential bio-inspired applications are overviewed and outlooked to finally find the answer, that is, how we learn from creatures.
翻译:软体机器人开辟了通向灵活性和环境适应性的独特道路,从自然中学习和复制生物行为。自然意味着如何将机器人应用到现实生活中的答案。为了了解我们如何从生物中学习设计和应用软机器人,在本评论中,我们提议了一种分类方法,根据生物系统的不同功能来总结软机器人:自我生长、自我愈合、自反应和自我循环。基于生物功能的分类逻辑用来解释我们从生物中学习的原因。对这些类别的先进技术、特征、准、共体、挑战和潜在应用进行了分析,以说明我们从生物中学到的东西。通过将这些类别相互交织,现有和潜在的生物激励应用被概括和展望,以便最终找到答案,这就是我们如何从生物中学习。</s>