  Artificial nociceptors, mimicking human-like stimuli perception, are of
significance for intelligent robotics to work in hazardous and dynamic
scenarios. One of the most essential characteristics of the human nociceptor is
its self-adjustable attribute, which indicates that the threshold of
determination of a potentially hazardous stimulus relies on environmental
knowledge. This critical attribute has been currently omitted, but it is highly
desired for artificial nociceptors. Inspired by these shortcomings, this
article presents, for the first time, a Self-Directed Channel (SDC)
memristor-based self-reconfigurable nociceptor, capable of perceiving hazardous
pressure stimuli under different temperatures and demonstrates key features of
tactile nociceptors, including 'threshold,' 'no-adaptation,' and
'sensitization.' The maximum amplification of hazardous external stimuli is
1000%, and its response characteristics dynamically adapt to current
temperature conditions by automatically altering the generated modulation
schemes for the memristor. The maximum difference ratio of the response of
memristors at different temperatures is 500%, and this adaptability closely
mimics the functions of biological tactile nociceptors, resulting in accurate
danger perception in various conditions. Beyond temperature adaptation, this
memristor-based nociceptor has the potential to integrate different sensory
modalities by applying various sensors, thereby achieving human-like perception
capabilities in real-world environments.
