Optimal path design in robot soccer environment

Author(s):  
M. Lepetic ◽  
G. Klancar ◽  
I. Skrjanc ◽  
D. Matko ◽  
B. Potocnik
2000 ◽  
Author(s):  
Kuo-Chi Lin ◽  
Annie S. Wu ◽  
Zhihua Qu ◽  
Tanmoy Joshi

Abstract When moving a partially constrained large and flexible material, vibration is always a concern, especially if the material is brittle. This paper suggests an approach that uses a genetic algorithm (GA) to search for the optimal path for moving a flexible structure within a given time constraint. A simple cantilever beam with a moving foundation is used as the implementation example. The results show that a GA can provide a set of “good” solutions within a small number of generations of evolution. This approach can be very efficient if the mathematical optimum is not absolutely necessary.


2013 ◽  
Vol 373-375 ◽  
pp. 1493-1496 ◽  
Author(s):  
Hong Wei Quan

In bearings-only target localization, observer path have an important effect on the accuracy of target localization. Based on the analysis of Fisher information matrix, an optimal approach to designing observer path is proposed. Observer path derived from the step-by-step optimal algorithm only depends on observer's initial states and state constraints. The optimal path resulted with step-by-step algorithm is demonstrated by computer simulation. Compared with traditional methods, our algorithm is not limited to the number of observations as well as terminating conditions.


1984 ◽  
Vol 29 (8) ◽  
pp. 632-634
Author(s):  
Berit Ingersoll-Dayton
Keyword(s):  

Author(s):  
Jinyi Ma ◽  
Lifu Hu ◽  
Bini Pan ◽  
Zhongzhi Li ◽  
Yuqing Tian ◽  
...  
Keyword(s):  

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