3212 確率共鳴によるヒトの触覚認識機構に基づく触覚センサの開発に関する研究(J25-2 メカニカルシステムとその知能化(2),J25 メカニカルシステムとその知能化)

抄録

In order to develop a new tactile sensing system for robots inspired by biological cognitive systems, the authors are attempting to utilize stochastic resonance capable of enhancing sensitivity by making a proper noise be superimposed upon indetectable weak signal to detect the signal. In the present research, we investigate human tactile sensing systems by means of numerical calculations of nerve systems and human mechanical models. Hudgkin-Huxley model was adopted as the nerve system model and showed the stochastic resonance effect in tactile sensing. Non-linear hyper-elastic and viscoelastic constitutive models were adopted to simulate the human mechanical FEM model. At the present, we are continuing to perform a series of simulations and will show the simulated results in the conference.