Accessing pluripotent drones through reprogramming of dynamic soft self-healing chemical growth
Kecheng Qin, Wei Tang, Xinyu Guo, Huxiu Xu, Yiding Zhong, Yonghao Wang, Qincheng Sheng, Huayong Yang, Jun Zou
- 发表年份
- 2025
- 引用次数
- 3
摘要
The functions of drones that are implemented by existing design paradigms are usually fixed and do not have the possibility of further 'differentiation'. Inspired by the biological concept of pluripotency, here we report a pluripotent drone that can further 'differentiate' into a series of drones with different functions to perform a variety of challenging tasks. To realize this concept, we propose a method of reprogrammable dynamic soft self-healing chemical growth (R-growth), by which the pluripotent drone can grow specific 'organs' to achieve corresponding functions, and after completing the corresponding tasks, these 'organs' can be retracted. Furthermore, these 'organs' are able to respond to possible damage through rapid self-healing (∼3.2 s, >1000 times faster than the self-healing of existing similar membranes). R-growth is large-scale (>1.5 m), fast (0.15 m/s), lightweight (∼5 g, 1/20 the weight of traditional micro air pumps), self-contained and free-wheeling. This method can be applied to various existing drones to significantly extend their functions and to enable an unprecedented range of tasks. This work realizes the growth, retraction, and switching of drone 'organs' with any function, while such ability of macro robots or humans, to date, only exists in science fiction movies.
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