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» Estimation from lossy sensor data: jump linear modeling and ...
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ICRA
2010
IEEE
188views Robotics» more  ICRA 2010»
13 years 4 months ago
Classification and prediction for accurate sensor-based assembly to moving objects
Abstract-- Typical industrial assembly tasks require an accuracy that cannot be realized by only feedback control if a minimum speed is given by a conveyor. Feed-forward has proven...
Friedrich Lange, Johannes Scharrer, Gerd Hirzinger
CVPR
2012
IEEE
11 years 8 months ago
Finite Element based sequential Bayesian Non-Rigid Structure from Motion
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
Antonio Agudo, Begoña Calvo, J. M. M. Monti...
DMSN
2004
ACM
13 years 11 months ago
Adaptive sampling for sensor networks
A distributed data-stream architecture finds application in sensor networks for monitoring environment and activities. In such a network, large numbers of sensors deliver continu...
Ankur Jain, Edward Y. Chang
ICRA
1998
IEEE
148views Robotics» more  ICRA 1998»
13 years 10 months ago
Position Estimation Using Principal Components of Range Data
1 sensors is to construct a structural description from sensor data and to match this description to a previously acquired model [Crowley 85]. An alternative is to project individu...
James L. Crowley, Frank Wallner, Bernt Schiele
ICML
2006
IEEE
14 years 6 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh