Bionic perception and transmission neural device based on a self-powered concept
Kaixian Ba, Guijiang Liu, Guoliang Ma, Chun‐Hao Chen, Liaoyuan Pu, Xiaolong He, Xin Chen, Yuan Wang, Qixin Zhu, Dakai Wang, Linpeng Liu, Bin Yu, Xiangdong Kong, Zhiwu Han, Luquan Ren
- 发表年份
- 2024
- 引用次数
- 24
- 访问权限
- 开放获取
摘要
Differing from the traditional view that the power frequency electric field is always considered a negative phenomenon, here we report a concept that uses the power frequency electric field directly as an energy source to generate sensing signals. To demonstrate this, an integrated bionic perception and transmission nerve device (BPTND) based on the power frequency electric field is developed. The BPTND can effectively simulate the sensory and nervous systems by integrating perception, recognition, and transmission functions to detect and transmit positional information of mechanical stimulation. Results demonstrate that BPTND shows the advantages of simple preparation, low cost, fast response, strong shape self-adaptation, a simple sensing mechanism, and strong anti-interference ability. The BPTND is successfully applied to automobile and unmanned aerial vehicle control and hydraulic quadruped robot leg motion control. This concept is expected to guide the development of various new forms of modules in the future.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002