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» Control of a Car-Like Robot Using a Dynamic Model
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132
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ICAS
2006
IEEE
139views Robotics» more  ICAS 2006»
15 years 9 months ago
Predicting Resource Demand in Dynamic Utility Computing Environments
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Artur Andrzejak, Sven Graupner, Stefan Plantikow
121
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NIPS
2008
15 years 4 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
127
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IJBC
2010
80views more  IJBC 2010»
15 years 23 days ago
Symbolic Dynamical Model of Average Queue Size of Random Early Detection Algorithm
In this paper, a symbolic dynamical model of the average queue size of the random early detection (RED) algorithm is proposed. The conditions on both the system parameters and the...
Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Herber...
112
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ICRA
2002
IEEE
113views Robotics» more  ICRA 2002»
15 years 8 months ago
Modeling of Needle Insertion Forces for Robot-Assisted Percutaneous Therapy
Force information from needle insertions was measured and modeled for use in robot-assisted percutaneous therapies. Data was collected on bovine livers using the Johns Hopkins Uni...
Christina Simone, Allison M. Okamura
168
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ABIALS
2008
Springer
15 years 9 months ago
A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Camille Salaün, Vincent Padois, Olivier Sigau...