AUTONOMOUS CONTROL OF COMPLEX SYSTEMS: ROBOTIC APPLICATIONS**This work was supported, in parts, by NASA Grant number NCCW-0087This paper represents a set of applications of soft computing approaches to complex systems such as mobile robots, flexible arm, etc. The structure of the paper is as follows: Section 2 gives a brief introduction into autonomy through soft computing. Section 3 introduces two notions of sensory fusion and rule hierarchy. Section 4 constitutes a few applications of autonomous control for complex systems through soft computing approaches. Conclusions are described in Section 5.

Author(s):  
M. Jamshidi
2016 ◽  
Author(s):  
M. de Oliveira ◽  
M. Figueiredo ◽  
F. Gomide ◽  
L. Romero

2015 ◽  
Vol 1117 ◽  
pp. 245-248
Author(s):  
István Komlósi

In many outdoor robotic applications several factors have to be taken into account during a path planning process. In different situations the importance of these factors vary. This paper presents a path planning method for mobile robots that incorporates decision theory to guide the search. A neural structure is proposed to determine the relative importance of the objectives that makes the robot capable of planning in unfamiliar situations. The method is able to handle an arbitrary number of objectives simultaneously and also enables the incorporation of human logic into the planning process. All parts of the algorithm suit real-time implementation.


2004 ◽  
Vol 18 (1) ◽  
pp. 83-99 ◽  
Author(s):  
Kazuyuki Ito ◽  
Akio Gofuku

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