Goal-seeking Behavior-based Mobile Robot Using Particle Swarm Fuzzy Controller
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By developing the robot behavior using the mobile robot simulation with variety of obstacles can make the developers have more knowledge on the mobile robot behavior in
Penelitian ini bertujuan untuk membangun Kendali Cerdas berbasis Fuzzy Logic (Logika Samar) untuk menentukan posisi robot dan Behavior Based Control (kendali berbasis
Two tuning methods, genetic algorithm (GA) and bacteria foraging optimization algorithm (BFOA) are used to obtain optimal values for controller parameters.. A comparison between
Setelah itu, aturan Fuzzy tertentu dirancang berbasiskan pendekatan aturan konteks Fuzzy fleksibel ( flexible Fuzzy context rule , FFCR). FFCR digunakan pada
This study focuses on the following dynamic char- acteristics of the mobile robots: walking behavior, ex- ploration behavior, human-following behavior, aversive behavior, and robot
and Ibrahim, Z.,”Autonomous Mobile Robot AMRSBot with GPS Navigation and Ultrasonic Obstacle Avoidance System.” School of Mechatronics Engineering, Universiti Malaysia Perlis 01000
From simulation and implementation results, presented here, it can be seen that the proposed vision-based fuzzy navigation algorithm can guide a mobile robot in outdoor environments
This research aims to implement a navigation system based on Dewantara & Ariyadi, 2021 with the combination of the Fuzzy-Social Force Model FSFM into a mobile robot that can navigate
