The application of indoor mobile industrial robots in industrial production,intelligent logistics and other fields is becoming increasingly widespread,and their navigation and positioning with its high applica-tion value have become a hot topic of research for scholars.In order to solve the problems of particle scarcity and low positioning accuracy in Monte Carlo localization(MCL)algorithm,the adaptive Monte Carlo localiza-tion(AMCL)algorithm is applied to the positioning system of mobile industrial robots.By introducing ran-dom sampling and KLD sampling in MCL resampling,the number of particles is adaptively dynamically ad-justed to achieve good positioning results.At the same time,an experimental platform based on robot operat-ing system(ROS)is built for positioning experiments.Through experiments,the AMCL positioning algorithm can effectively achieve the positioning function of mobile industrial robots on the ROS platform.
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