作者: Joseph Sutlive , Agoshpreet Singh , Shuxin Zhang , Rolf Müller
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摘要: Encoding of sensory information is fundamental to closing the performance gapbetween man-made and biological sensing. It has been hypothesized that coupling sensingand actuation, a phenomenon observed in bats among other species, critical accomplishingthis. Using horseshoe as model, we have developed biomimetic pinna model with asoft actuation system along prototype strain sensor for enabling motor feedback. Theactuation used three individually controlled pneumatic actuators per which actuateddifferent portions baffle. This produced eight different possible motions thatwere shown significant effects on incoming sound could hence function substratefor adaptive The range be expanded by adjusting fill andrelease parameters system. Additionally, was able representthe deformation measurements from this were highly correlated withdeformation estimates based stereo vision. However, relationship between displacementsof points output nonlinear. improvements embodied inthe discussed here lead enhancements ability autonomous systems toencode relevant about real world.