Multiple mobile robots real-time visual search algorithm

2010 ◽  
Author(s):  
Caixia Yan ◽  
Qiang Zhan
Keyword(s):  
Visual Search ◽  
Mobile Robots ◽  
Real Time ◽  
Search Algorithm ◽  
Multiple Mobile Robots

Real-Time Deadlock-Free Navigation for Multiple Mobile Robots

2007 ◽  
Author(s):  
Harunori Gakuhari ◽  
Songmin Jia ◽  
Kunikatsu Takase ◽  
Yoshiro Hada
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Multiple Mobile Robots

Real-time deadlock-free navigation for multiple mobile robots

2008 ◽  
Vol 163 (3) ◽  
pp. 27-36
Author(s):  
Harunori Gakuhari ◽  
Kunikatsu Takase ◽  
Yoshiro Hada
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Multiple Mobile Robots

scholarly journals Real-Time Deadlock-Free Navigation for Multiple Mobile Robots

2007 ◽  
Vol 127 (3) ◽  
pp. 380-388 ◽  
Author(s):  
Harunori Gakuhari ◽  
Kunikatsu Takase ◽  
Yoshiro Hada
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Multiple Mobile Robots

Real‐time multiple mobile robots visual detection system

Sensor Review ◽  
2011 ◽  
Vol 31 (3) ◽  
pp. 228-238 ◽  
Author(s):  
Caixia Yan ◽  
Qiang Zhan
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Visual Detection ◽  
Detection System ◽  
Multiple Mobile Robots

Real-time obstacle avoidance for multiple mobile robots

Robotica ◽  
2009 ◽  
Vol 27 (2) ◽  
pp. 189-198 ◽  
Author(s):  
Farbod Fahimi ◽  
C. Nataraj ◽  
Hashem Ashrafiuon
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Obstacle Avoidance ◽  
Panel Method ◽  
The Other ◽  
Harmonic Potential ◽  
Current Position ◽  
Multiple Mobile Robots ◽  
Moving Obstacles ◽  
Harmonic Potential Field

SUMMARYAn efficient, simple, and practical real time path planning method for multiple mobile robots in dynamic environments is introduced. Harmonic potential functions are utilized along with the panel method known in fluid mechanics. First, a complement to the traditional panel method is introduced to generate a more effective harmonic potential field for obstacle avoidance in dynamically changing environments. Second, a group of mobile robots working in an environment containing stationary and moving obstacles is considered. Each robot is assigned to move from its current position to a goal position. The group is not forced to maintain a formation during the motion. Every robot considers the other robots of the group as moving obstacles and hence the physical dimensions of the robots are also taken into account. The path of each robot is planned based on the changing position of the other robots and the position of stationary and moving obstacles. Finally, the effectiveness of the scheme is shown by modeling an arbitrary number of mobile robots and the theory is validated by several computer simulations and hardware experiments.

Robust and accurate global vision system for real time tracking of multiple mobile robots

2008 ◽  
Vol 56 (3) ◽  
pp. 213-230 ◽  
Author(s):  
Mišel Brezak ◽  
Ivan Petrović ◽  
Edouard Ivanjko
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Vision System ◽  
Multiple Mobile Robots ◽  
Global Vision ◽  
Real Time Tracking
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