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» Sampling-Based Motion Planning Using Predictive Models
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MICCAI
2009
Springer
14 years 12 months ago
Modeling Respiratory Motion for Cancer Radiation Therapy Based on Patient-Specific 4DCT Data
Prediction of respiratory motion has the potential to substantially improve cancer radiation therapy. A nonlinear finite element (FE) model of respiratory motion during full breath...
Jaesung Eom, Chengyu Shi, Xie George Xu, Suvran...
NIPS
2004
14 years 3 days ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
AAAI
2000
14 years 3 days ago
Predicting Future User Actions by Observing Unmodified Applications
Intelligent user interfaces often rely on modified applications and detailed application models. Such modifications and models are expensive to build and maintain. We propose to a...
Peter Gorniak, David Poole
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
14 years 5 months ago
Heart surface motion estimation framework for robotic surgery employing meshless methods
Abstract— A novel heart surface motion estimation framework for a robotic surgery on a stabilized beating heart is proposed. It includes an approach for the reconstruction and pr...
Evgeniya Bogatyrenko, Uwe D. Hanebeck, Gábo...
IROS
2009
IEEE
149views Robotics» more  IROS 2009»
14 years 5 months ago
Path planning for data assimilation in mobile environmental monitoring systems
— By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile ...
Franz S. Hover