Pencarian Rute Line Follower Mobile Robot Pada Maze Dengan Metode Q Learning
Abstract
Dalampenelitianinirobotlinefollowerakandigunakan sebagaiagen.Robotagenbertugasmencarirutedalam suatuenvironmentberupamaze,tanpaadabimbingan langsungdarimanusia.Robotdiberikan algoritmaQ Learningyangmerupakansalahsatumetodedalam domainReinforcementLearning.Tujuandaripenelitian iniadalahrobotharusbisamenemukanrutedariinitial state menujugoalstate.AlgoritmaQLearningberperan untukmenyimpanstate-statejalurmazeyangtelah dilaluidalammatrikQ.Setiapkalirobotmencapai salahsatudaristatepertigaan,belokkiri,belokkanan ataulurusmakarobotakanmemilihaksiyang mungkin.Haliniakandilakukanberulangsampainilai pasanganstateaksipadamatriksQmencapai nilai yangoptimal.
Darihasilujicobadidapatkandatasebanyak34state yangtelahdipelajariolehrobot.Prosestrainingtelah mampumeningkatkanpengetahuanrobotsehingga bisamenemukanrutedariinisialstatemenujukegoal state.Dari30kalipercobaantingkatkeberhasilan robotuntukmenemukanstateadalah23kali.Ini berartibahwatingkaterrorantara24%.
Kata Kunci: Robot Line Follower, Reinforcement Learning, Maze, Q Learning
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