Research on fire inspection robot based on industrial internet of things multi perception technology
In response to the challenges of weak global search abil-ity,slow convergence speed,and easy falling into local optima in existing ant colony algorithms for path planning of fire robots,an ant colony path planning algorithm based on rollback and forward and backward optimization strategies is proposed.It enhances global search capability and speed by improving global initializa-tion information,adopting rollback strategies and ant colony for-ward and backward optimization methods.The simulation results based on MATLAB and ROS show that the improved ant colony algorithm proposed in this paper improves convergence,reduces iteration times,shortens patrol path length,and saves valuable time for firefighting robot fire rescue.
firefighting robotpath planningant colony algo-rithmrollback strategyforward and backward optimization
NETL
NSTL
万方数据
维普
