Hierarchical Control Approach for Autonomous Mobile Robots

1970 ◽  
Vol 110 (4) ◽  
pp. 101-104 ◽  
Author(s):  
T. Proscevicius ◽  
A. Bukis ◽  
V. Raudonis ◽  
M. Eidukeviciute
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Artificial Neural Networks ◽  
Mobile Robots ◽  
Control Systems ◽  
Hierarchical Control ◽  
Autonomous Mobile Robots ◽  
Hierarchical Systems ◽  
Control Approach ◽  
Specific Management

Methods for intelligent mobile robots control which are based on principles of hierarchical control systems will be reviewed in this article. Hierarchical intelligent mobile robots are new direction for development of robotics, which have wide application perspectives. Despite increasing progress in technologies, the main problem of autonomous mobile robots development is that, they are ineffective in their control. In each of the hierarchical control levels (movement in space, problems solving and signal processing sets) will define by specific management of objectives, goals and rules. Communication and management between hierarchies are implemented by higher level of hierarchy using obtained information about the environment and lover level of hierarchy. Studies have shown that artificial neural networks, fuzzy logic are widely used for the development of the hierarchical systems. The main focus of the work is on communications in hierarchy levels, since the robot must be controlled in real time. Ill. 4, bibl. 13 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.110.4.298

scholarly journals Fuzzy Configuration Space for Moving Obstacle Avoidance of Autonomous Mobile Robots

2006 ◽  
Vol 10 (1) ◽  
pp. 26-34
Author(s):  
Jorge Guerra ◽  
◽  
Hajime Nobuhara ◽  
Kaoru Hirota
Keyword(s):  
Mobile Robots ◽  
Configuration Space ◽  
High Performance ◽  
Computational Cost ◽  
Ccd Camera ◽  
Autonomous Mobile Robots ◽  
Reactive Control ◽  
Starting Point ◽  
Planning Algorithm ◽  
Proximity Measures

A fuzzy configuration space description method that provides the path planning solution for autonomous mobile robots in dynamically changing environment is proposed based on a hybrid planning algorithm that combines total solutions and reactive control through fuzzy proximity measures. The system (made with C++) that monitors and controls mobile robots remotely is created using a multithreaded model while taking advantage of high performance OpenGL routines to counter the increase in computational cost generated by this approach. Experiments on a real Lego robot are performed using a personal computer with a 1.5GHz Pentium4 CPU and a CCD camera. The efficiency of the hybrid algorithm and the potential of this approach, as a distributed system, in greatly changing dynamic environments are shown. The system provides a starting point for further development of distributed robotic systems, for application in human support tasks where interaction with nonprecise human behaviors are better mentioned with fuzzy parameters.

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