GA-Based Optimal Waypoint Design for Improved Path Following of Mobile Robot

Author(s):  
Jae-Seok Yoon ◽  
Byung-Cheol Min ◽  
Seong-Og Shin ◽  
Won-Se Jo ◽  
Dong-Han Kim
Keyword(s):  
10.5772/50920 ◽  
2012 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
Kolja Kühnlenz ◽  
Martin Buss

Multi-focal vision systems comprise cameras with various fields of view and measurement accuracies. This article presents a multi-focal approach to localization and mapping of mobile robots with active vision. An implementation of the novel concept is done considering a humanoid robot navigation scenario where the robot is visually guided through a structured environment with several landmarks. Various embodiments of multi-focal vision systems are investigated and the impact on navigation performance is evaluated in comparison to a conventional mono-focal stereo set-up. The comparative studies clearly show the benefits of multi-focal vision for mobile robot navigation: flexibility to assign the different available sensors optimally in each situation, enhancement of the visible field, higher localization accuracy, and, thus, better task performance, i.e. path following behavior of the mobile robot. It is shown that multi-focal vision may strongly improve navigation performance.


Author(s):  
Lluis Pacheco ◽  
Ningsu Luo

Accurate path following is an important mobile robot research topic. In many cases, radio controlled robots are not able to work properly due to the lack of a good communication system. This problem can cause many difficulties when robot positioning is regarded. In this context, gaining automatic abilities becomes essential to achieving a major number of mission successes. This chapter presents a suitable control methodology used to achieve accurate path following and positioning of nonholonomic robots by using PID controllers. An important goal is to present the obtained experimental results by using the available mobile robot platform that consists of a differential driven one.


Author(s):  
Victor H. Andaluz ◽  
Flavio Roberti ◽  
Juan Marcos Toibero ◽  
Ricardo Carelli ◽  
Bernardo Wagner

Author(s):  
Wong Yuen Loong ◽  
Liew Zhen Long ◽  
Lim Chot Hun
Keyword(s):  

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