Robot stress protection system based on synaptic transistor

Abstract

The invention discloses a robot stress protection system based on a synaptic transistor, which comprises a resistive temperature sensor, a Wheatstone bridge, a voltage-to-frequency circuit, a synaptic transistor, a voltage comparison circuit and a robot. The robot mainly comprises a microprocessor and a steering engine set. The resistive temperature sensor and the Wheatstone bridge are used for simulating a receptor of an animal and correspondingly converting the temperature into a voltage signal. The voltage-to-frequency circuit simulates afferent nerves for converting the voltage signal into an electric pulse with a corresponding frequency. The synaptic transistor can generate an excitatory post-synaptic current according to the amplitude, frequency and duration of an input pulse of a side gate, and the post-synaptic current is promoted or suppressed under the control of a main gate. When the post-synaptic current reaches a threshold of a voltage comparator, the stress protection is triggered. By simulating behaviors and mechanisms of organisms, a humanoid robot can obtain higher sensitive perception ability and damage prevention ability. Therefore, the adaptive capacity under severe working conditions can be improved.

Description

technical field [0001] The invention relates to the field of micro-nano manufacturing technology, and specifically refers to a robot stress protection system based on synaptic transistors. Background technique [0002] Animals possess complex sensory and motor systems. When faced with a sudden and changeable environment, many of their stress responses, such as knee jerk reflex, eye blink reflex, and hand withdrawal reflex, can greatly improve the ability to adapt to the environment and survive. By imitating the behaviors and mechanisms of living things, humanoid robots can gain enhanced sensitive perception and damage prevention capabilities. This will improve their resilience in harsh working conditions. [0003] Reflex action is a self-protection mechanism that allows animals to respond quickly to stimuli and avoid danger. Afferent nerves, neurons, and spinal cords in animals constitute complex neural networks. Neural networks are divided into low-level and high-level....

AI Technical Summary

Problems solved by technology

[0006] The aforementioned synaptic transistors can generate excitatory postsynaptic currents in response to multimodal signals, but lack the regulation and involvement of the brain

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