A lane based obstacle avoidance method for mobile robot navigation

2003 ◽  
Vol 17 (11) ◽  
pp. 1693-1703 ◽  
Author(s):  
Nak Yong Ko ◽  
Reid G. Simmons ◽  
Koung Suk Kim
Keyword(s):  
Mobile Robot ◽  
Obstacle Avoidance ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Lane Based

scholarly journals Using Ultrasonic Sensors and a Knowledge-Based Neural Fuzzy Controller for Mobile Robot Navigation Control

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 466
Author(s):  
Cheng-Hung Chen ◽  
Cheng-Jian Lin ◽  
Shiou-Yun Jeng ◽  
Hsueh-Yi Lin ◽  
Cheng-Yi Yu
Keyword(s):  
Mobile Robot ◽  
Differential Evolution ◽  
Obstacle Avoidance ◽  
Fuzzy Controller ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Knowledge Based ◽  
Automatic Navigation ◽  
Navigation Control ◽  
Neural Fuzzy

This study proposes a knowledge-based neural fuzzy controller (KNFC) for mobile robot navigation control. An effective knowledge-based cultural multi-strategy differential evolution (KCMDE) is used for adjusting the parameters of KNFC. The KNFC is applied in PIONEER 3-DX mobile robots to achieve automatic navigation and obstacle avoidance capabilities. A novel escape approach is proposed to enable robots to autonomously avoid special environments. The angle between the obstacle and robot is used and two thresholds are set to determine whether the robot entries into the special landmarks and to modify the robot behavior for avoiding dead ends. The experimental results show that the proposed KNFC based on the KCMDE algorithm has improved the learning ability and system performance by 15.59% and 79.01%, respectively, compared with the various differential evolution (DE) methods. Finally, the automatic navigation and obstacle avoidance capabilities of robots in unknown environments were verified for achieving the objective of mobile robot control.

scholarly journals 3 Bio-Mimetic Vision System For Autonomous Mobile Robot Navigation

2013 ◽  
Vol 3 (1) ◽  
pp. 4
Author(s):  
Muhammad Safwan ◽  
Muhammad Yasir Zaheen ◽  
M. Anwar Ahmed ◽  
Muhammad Shujaat Kamal ◽  
Raj Kumar
Keyword(s):  
Mobile Robot ◽  
Obstacle Avoidance ◽  
Stereo Vision ◽  
Robot Navigation ◽  
Vision System ◽  
Experimental Results ◽  
Mobile Robot Navigation ◽  
Absolute Difference ◽  
Autonomous Mobile Robot ◽  
Dc Motors

Bio-Mimetic Vision System (BMVS) for AutonomousMobile Robot Navigation encompasses three major fields, namelyrobotics, navigation and obstacle avoidance. Bio-mimetic vision isbased on stereo vision. Summation of Absolute Difference (SAD)is applied on the images from the two cameras and disparity mapis generated which is then used to navigate and avoid obstacles.Camera calibration and SAD is applied on Matlab software.AT89C52 microcontroller, along with Matlab, is used to efficientlycontrol the DC motors mounted on the robot frame. It is observedfrom experimental results that the developed system effectivelydistinguishes objects at different distances and avoids them whenthe path is blocked.

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