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» Building a Stochastic Dynamic Model of Application Use
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RAS
2000
119views more  RAS 2000»
13 years 9 months ago
Benchmarking cerebellar control
Cerebellar models have long been advocated as viable models for robot dynamics control. Building on an increasing insight in and knowledge of the biological cerebellum, many model...
P. Patrick van der Smagt
GIS
2007
ACM
14 years 3 months ago
Cell-based generalization of 3D building groups with outlier management
In this paper, we present a technique that generalizes 3D building groups of virtual 3D city models according to a cell structure that is derived from infrastructure networks. In ...
Tassilo Glander, Jürgen Döllner
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
14 years 3 months ago
Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
Florian Rohrmüller, Matthias Althoff, Dirk Wo...
ICDCN
2009
Springer
14 years 4 months ago
Tracking Dynamics Using Sensor Networks: Some Recurring Themes
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
Krithi Ramamritham
ASMTA
2009
Springer
114views Mathematics» more  ASMTA 2009»
14 years 1 months ago
Improving the Efficiency of the Proxel Method by Using Individual Time Steps
Discrete stochastic models (DSM) are widely used in various application fields today. Proxel-based simulation can outperform discrete event-based approaches in the analysis of smal...
Claudia Krull, Robert Buchholz, Graham Horton