Generating probabilistic survival curves to schedule robot maintenance precisely when needed rather than on fixed calendars.
Sequential Monte Carlo particle filters combine physical wear equations with historical fleet failure distributions, computing remaining useful life (RUL) confidence intervals.
Rather than pulling robots out of high-demand shifts, the system routes vehicles for component replacement during planned weekend production shutdowns.