scholarly journals Mobile Robot Navigation Based on Circle Recognition

2013 ◽  
Vol 64 (2) ◽  
pp. 84-91 ◽  
Author(s):  
Peter Pásztó ◽  
Peter Hubinský

This paper presents a navigation method for a mobile robot using a visual system. Circular marks with specific colors are used for marking the significant points of the mobile robot’s trajectory that it needs to pass. The colors of the used marks are signalizing the way of their bypassing with the mobile robot (from the left or right side). The mobile robot uses only one camera for the marks recognition task and it is able to determine its own relative position from the detected marks. The image processing and the mobile robot’s trajectory planning algorithm working in real-time are described in this paper.

2015 ◽  
Vol 5 (3) ◽  
pp. 189-203 ◽  
Author(s):  
Tharindu Weerakoon ◽  
Kazuo Ishii ◽  
Amir Ali Forough Nassiraei

Abstract Artificial Potential Filed (APF) is the most well-known method that is used in mobile robot path planning, however, the shortcoming is that the local minima. To overcome this issue, we present a deadlock free APF based path planning algorithm for mobile robot navigation. The Proposed-APF (P-APF) algorithm searches the goal point in unknown 2D environments. This method is capable of escaping from deadlock and non-reachability problems of mobile robot navigation. In this method, the effective front-face obstacle information associated with the velocity direction is used to modify the Traditional APF (T-APF) algorithm. This modification solves the deadlock problem that the T-APF algorithm often converges to local minima. The proposed algorithm is explained in details and to show the effectiveness of the proposed approach, the simulation experiments were carried out in the MATLAB environment. Furthermore, the numerical analysis of the proposed approach is given to prove a deadlock free motion of the mobile robot.


2020 ◽  
Vol 20 (19) ◽  
pp. 11660-11673
Author(s):  
Xuyan Hou ◽  
Wei Li ◽  
Yuexing Han ◽  
Aoxiang Wang ◽  
Yihui Yang ◽  
...  

Author(s):  
Saurabh Sarkar ◽  
Manish Kumar

The paper presents a swarm based lane detection system which uses cooperating agents acting on different regions of the images obtained from an onboard robot camera. These agents act on the image and communicate with each other to find out the possible location of the lane in the image. The swarm agents finalize their locations based on a set of rules which includes each other’s relative position and their previous locations. The swarm agents place themselves on the lane and generate a guidance path for the robot. This proposed lane detection method is is fast and robust to noises in the image. It is faster than the regression methods commonly used and can overcome the problem of noisy image to a good extent.


2021 ◽  
Author(s):  
Abderraouf Maoudj ◽  
Abdelfetah Hentout ◽  
Anders Lyhne Christensen ◽  
Ahmed Kouider

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