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Machine Perception Through Natural Intelligence

机译:通过自然智能感知机器

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The sensing organs are exponentially better than any of analogous artificial ones. That is why using them in full scale is a perspective trend to the efficient (advanced) machine perception. On the other hand, limitations of sensing organs could be replaced by the perfect artificial ones with the subsequent training the nervous system on their output signals. An attempt to lay down the foundations of biosensing by natural sensors and in addition to them by the artificial transducers of physical quantities, also with their expansion into space arrays and external/implantable functioning in relation to the nervous system is performed. The advances in nanotechnology are opening the way to achieving direct electrical contact of nanoelectronic structures with electrically and electrochemically active neurocellular structures. The transmission of the sensors' signals to a processing unit has been maintaining by an electromagnetic transistor/memristor (externally) and superconducting transducer of ionic currents (implantable). The arrays of the advanced sensors give us information about the space and direction dynamics of the signals' spreading.The measuring method and necessary performance data of the sensor for the robot's orientation in the ambient magnetic field with living being-machine interaction in order to obtain input and output signals from brain and motor nerves to the measurement system and vice versa are introduced. The range of applied sensors differs from an induction sensor to superconducting induction magnetometer. The analytical expressions for arrangements of the head sensors in differential and vector (3D) relative positions are deduced. Sensitivity of the perception method makes it possible to recognize the linear translation of 10?2 m and disposal in space of 10?3 m3. Interaction between living beings and robotic equipment is given analytical treatment.
机译:传感器官比其他任何类似的人工器官都好。因此,全面使用它们是高效(高级)机器感知的一种趋势。另一方面,传感器官的局限性可以被完美的人工器官所取代,随后在其输出信号上训练神经系统。试图通过自然传感器以及除物理量的人工换能器之外的生物传感器来奠定生物传感的基础,同时还要扩展它们到空间阵列中以及与神经系统有关的外部/可植入功能。纳米技术的进步为实现纳米电子结构与电和电化学活性神经细胞结构的直接电接触开辟了道路。传感器信号到处理单元的传输一直由电磁晶体管/忆阻器(外部)和离子电流超导换能器(可植入)维持。先进的传感器阵列为我们提供了信号传播的空间和方向动力学信息。对于传感器在环境磁场中与生物机相互作用的机器人定向的测量方法和必要的性能数据,以便获得引入了从大脑和运动神经到测量系统的输入和输出信号,反之亦然。从感应传感器到超导感应磁力计,应用的传感器范围有所不同。推导了头部传感器在差分和矢量(3D)相对位置的布置的解析表达式。感知方法的灵敏度使得可以识别10?2 m的线性平移和10?3 m3的空间中的处置。对生物与机器人设备之间的相互作用进行分析处理。

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