Review of mobile robots obstacle avoidance, localization, motion planning, and wheels

Mustafa A. Mhawesh (Al-Furat Al-Awsat Technical University)
Zaid H. Al-Tameemi (Al-Furat Al-Awsat Technical University)
Omar Muhammed Neda (Sunni Diwan Endowment)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 20, No 2: November 2020

The main objective of this research is to study the obstacle avoidance, Monte Carlo Localization (MCL) method, motion planning in dynamic networks for mobile robots, and mobile robots wheels depending on the previous published researches. The researchers had done their experiments on different mobile robots and had validated them. This research helps the readers to learn how the robot changes its directions to prevent itself from collisions depending on three ultrasonic sensors. Also, they will learn the localization of the mobile robots depending on the recorded data from RHINO and MINERVA robots. In addition to learning the obstacle avoiding and the localization of mobile robots, the readers will learn new planning framework. Furthermore, they will get knowledge in types of mobile robots wheels.