21 search results - page 3 / 5 » Robust extended Kalman filter based nonlinear model predicti... |
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
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...
AROBOTS
2011
13 years 25 days ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
ICRA
2007
IEEE
14 years 2 days ago
2007
IEEE
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
CVPR
2009
IEEE
15 years 27 days ago
2009
IEEE
A novel particle filter, the Memory-based Particle Filter
(M-PF), is proposed that can visually track moving objects
that have complex dynamics. We aim to realize robustness
aga...