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pro vyhledávání: '"Anya Lynn Tascillo"'
Publikováno v:
Journal of Intelligent and Robotic Systems. 19:321-337
This paper presents a planning methodology based on Stochastic Petri Nets (SPNs) and Neural nets for coordination of two robotic arms working in a space with constrained placement. The SPN planning method generates a global plan based on the states o
Autor:
Anya Lynn Tascillo, Ronald Hugh Miller
Publikováno v:
Proceedings of the International Joint Conference on Neural Networks, 2003..
A methodology has been developed that aids drivers by suggesting a safer following distance, through the use of sensors, and optionally, vehicle to vehicle communication. Given the restricted case where there is no option to swerve into another lane,
Publikováno v:
Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
For a given digitized view of a driving scenario, motion clusters are formed, indicating possible moving object threats to the driver. Recurrent neural networks minimize hopping between clusters and predict a cluster's next location. Frequency analys