Research on localization method of mine rescue robot

In the narrow mineral well tunnel, it is very important to localize for rescuing. Because Markov localization algorithm need a lot of memory space and calculation, and Kalman filter localization algorithm can not localize for robot again after localization invalidation, based on analyzing the characteristic of Monte Carlo, combining the demand of robot localization in the complex environment, the localization algorithm of mine rescue robot based on Monte Carlo was proposed. The research results show the localization precision based on Monte Carlo algorithm is better than Markov algorithm.