CBUG: A Quadratically Competitive Mobile Robot Navigation Algorithm

Author(s):  
Y. Gabriely ◽  
E. Rimon
Measurement ◽  
2011 ◽  
Vol 44 (4) ◽  
pp. 620-641 ◽  
Author(s):  
N. Nirmal Singh ◽  
Avishek Chatterjee ◽  
Amitava Chatterjee ◽  
Anjan Rakshit

2013 ◽  
Vol 367 ◽  
pp. 388-392 ◽  
Author(s):  
Aydin Azizi ◽  
Farshid Entesari ◽  
Kambiz Ghaemi Osgouie ◽  
Mostafa Cheragh

This paper presents a modified sensor-based online method for mobile robot navigation generating paths in dynamic environments. The core of the navigation algorithm is based on the velocity obstacle avoidance method and the guidance-based tracking algorithm. A fuzzy decision maker is designed to combine the two mentioned algorithms intelligently. Hence the robot will be able to decide intelligently in various situations when facing the moving obstacles and moving target. A noble noise cancellation algorithm using Neural Network is designed to navigate the robot in an uncertain dynamic environment safely. The results show that the robot can track a moving target while maneuvering safely in dynamic environment and avoids stationary and moving obstacles.


Robotica ◽  
1995 ◽  
Vol 13 (5) ◽  
pp. 437-448 ◽  
Author(s):  
Bertrand Beaufrere ◽  
Saïd Zeghloul

SummaryThis paper treats, in a general way, the problem of mobile robot navigation in a totally unknown environment. The different aspects of this problem are dealt with one by one. We begin by introducing a simple method for perceiving and analyzing the robot's local environment based on a limited amount of distance information. Using this analysis as our base, we present a navigation algorithm containing different action modules; some of these actions use Fuzzy Logic. The results presented whether experimental or simulation show that our method is well adapted to this type of problem.


Author(s):  
Diego Gabriel Gomes Rosa ◽  
Carlos Luiz Machado de souza junior ◽  
Marco Antonio Meggiolaro ◽  
Luiz Fernando Martha

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