Distributed Robotic Teams: A Framework for Simulated and Real-World Modeling

Author(s):  
Michael Janssen ◽  
Andrew Drenner ◽  
Nikolaos Papanikolopoulos

2015 ◽  
pp. 459-467 ◽  
Author(s):  
Christopher Beorkrem ◽  
Steve Danilowicz ◽  
Eric Sauda ◽  
Richard Souvenir ◽  
Scott Spurlock ◽  
...  

Robotica ◽  
1990 ◽  
Vol 8 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Dong Woo Cho

SummaryRecent development of sensor knowledge representation by the use of a certainty grid has been extensive and shown the usefulness of the grid-based concept for robot navigation.Yet the methodology was not perfect. This paper introduces the Bayesian formula into the certainty grid representation to overcome some difficulties of ad hoc formula that has been the only way of updating the grids. The complete derivation of the proposed updating formula is given and proved to be able to accurately identify the simulated world. Also, the paper suggests two updating models: context-sensitive and context-free. Both of them were shown to be usable through simulation in real world modeling.


1997 ◽  
Vol 90 (8) ◽  
pp. 686-688

Mathematical modeling is an emerging theme in mathematics education. In addition to giving students a knowledge of the applications of mathematics and a process for applying mathematics in the “real” world, modeling offers teachers an excellent vehicle for introducing and developing students' mathematical knowledge. For these reasons, modeling occupies a prominent place in the recommendations of the Curriculum and Evaluation Standards for School Mathematics (NCTM 1989).


SIMULATION ◽  
2014 ◽  
Vol 90 (9) ◽  
pp. 1041-1058
Author(s):  
Amir Hossein Pasdar ◽  
Shahram Azadi ◽  
Reza Kazemi

Author(s):  
Kingo Takiguchi ◽  
Makiko Negishi ◽  
Yohko Tanaka-Takiguchi ◽  
Michio Homma ◽  
Kenichi Yoshikaw

Materials ◽  
2012 ◽  
Vol 5 (11) ◽  
pp. 2292-2305 ◽  
Author(s):  
Tsutomu Hamada ◽  
Kenichi Yoshikawa

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