Mobile Robots Path Planning Algorithm Based on PRM
With the increasing demand in the fields of manufacturing,logistics,services,and hazardous environments,the demand for mobile robots to perform diverse tasks is becoming increasingly significant,driving the rapid development of mobile robot technology.Especially in the field of intelligent mobility in unknown environments,efficient path planning has become a research focus.To this end,a path planning optimization algorithm based on probabilistic road map(PRM)is proposed,aiming to improve the sampling strategy,enhance sampling efficiency,and thus enhance the efficiency and accuracy of path planning.The effectiveness of this scheme was verified through simulation on the MATLAB platform.
mobile robotspath planningprobabilistic road mapsampling strategies
NETL
NSTL
万方数据
