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Fang Liu, Zexiao Liu, Jialu Gao and Yingchao Jing
Existing research on integrated innovation primarily focuses on the integration of product functions or technologies in the engineering field, with limited exploration of cross-domain integration of biological knowledge. Various organisms exhibit various...
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Kara Layne Johnson and Nicole Bohme Carnegie
Genetic algorithms mimic the process of natural selection in order to solve optimization problems with minimal assumptions and perform well when the objective function has local optima on the search space. These algorithms treat potential solutions to th...
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Ze Bian, Shijian Luo, Fei Zheng, Liuyu Wang and Ping Shan
Bionic reasoning is a significant process in product biologically inspired design (BID), in which designers search for creatures and products that are matched for design. Several studies have tried to assist designers in bionic reasoning, but there are s...
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Krishnamurthy V. Vemuru
We report the design of a Spiking Neural Network (SNN) edge detector with biologically inspired neurons that has a conceptual similarity with both Hodgkin-Huxley (HH) model neurons and Leaky Integrate-and-Fire (LIF) neurons. The computation of the membra...
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Sendren Sheng-Dong Xu, Hsu-Chih Huang, Tai-Chun Chiu and Shao-Kang Lin
This paper presents a biologically-inspired learning and adaptation method for self-evolving control of networked mobile robots. A Kalman filter (KF) algorithm is employed to develop a self-learning RBFNN (Radial Basis Function Neural Network), called th...
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Farzin Piltan, Cheol-Hong Kim and Jong-Myon Kim
Continuum robots represent a class of highly sensitive, multiple-degrees-of-freedom robots that are biologically inspired. Because of their flexibility and accuracy, these robots can be used in maxillary sinus surgery. The design of an effective procedur...
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