Hybrid Kalman Filter/Fuzzy Logic based Position Control of Autonomous Mobile Robot

International Journal of Advanced Robotic Systems

关键词: mobile filter;    robot;    extended Kalman fuzzy logic;    obstacle avoidance;    stereo vision system;   

DOI  :  10.5772/5789

学科分类：自动化工程

来源: InTech

【 摘 要 】

This paper describes position control of autonomous mobile robot using combination of Kalman filter and Fuzzy logic techniques. Both techniques have been used to fuse information from internal and external sensors to navigate a typical mobile robot in an unknown environment. An obstacle avoidance algorithm utilizing stereo vision technique has been implemented for obstacle detection. The odometry errors due to systematic-errors (such as unequal wheel diameter, the effect of the encoder resolution etc.) and/or non-systematic errors (ground plane, wheel-slip etc.) contribute to various motion control problems of the robot. During the robot moves, whether straight-line and/or arc, create the position and orientation errors which depend on systematic and/or non-systematic odometry errors. The main concern in most of the navigating systems is to achieve the real-time and robustness performances to precisely control the robot movements. The objective of this research is to improve the position and the orientati...

【 授权许可】

CC BY