The present application relates to the field of
artificial intelligence medical treatment, and especially relates to a
robot interaction method for adaptive health care, which comprises the following steps: collecting facial tongue image, physiological waveform,
body fluid chemistry and
environmental behavior information, fragment
encryption, writing into a
hash chain and embedding digital
watermark; after decryption, quantizing the signals into pulse sequences, inputting into a
liquid state machine to generate a pulse grid, extracting a topological signature and cascading with multi-scale features, obtaining a digital twin
state vector through a streaming variational
encoder; mapping the vector to a directed acyclic causal graph, applying fractional order
diffusion to form a propagation
tensor, constructing an
Ising model and obtaining a minimum energy spin through
silicon light coherent annealing to generate an
intervention effect vector through backwriting
simulation; taking the digital twin state and the
intervention effect as inputs, adopting an energy
covariance constraint proximal strategy to optimize an output
care plan; if the confidence is insufficient or a
drug conflict is detected, triggering artificial confirmation; the present application realizes a low-
delay, interpretable, end-to-end encrypted
family health closed-loop intervention.