Sciweavers

595 search results - page 74 / 119
» Learning Qualitative Models of Dynamic Systems
Sort
View
RSS
2007
135views Robotics» more  RSS 2007»
15 years 1 months ago
Learning omnidirectional path following using dimensionality reduction
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
J. Zico Kolter, Andrew Y. Ng
IJCNN
2007
IEEE
15 years 6 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
IROS
2009
IEEE
174views Robotics» more  IROS 2009»
15 years 6 months ago
Characterization and modeling of wireless channels for networked robotic and control systems - a comprehensive overview
— The goal of this paper is to serve as a reference for researchers in robotics and control that are interested in realistic modeling, theoretical analysis and simulation of wire...
Yasamin Mostofi, Alejandro Gonzalez-Ruiz, Alireza ...
AGENTS
1998
Springer
15 years 4 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ICML
2005
IEEE
16 years 19 days ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...