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» Using model knowledge for learning inverse dynamics
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IJRR
2008
139views more  IJRR 2008»
13 years 8 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 3 months ago
Force estimation in a piezoelectric cantilever using the inverse-dynamics-based UIO technique
— This paper presents the estimation of the force applied by a piezocantilever dedicated to micromanipulation/microassembly. Relative to previous works, the presented method avoi...
Micky Rakotondrabe, Philippe Lutz
TMI
2008
138views more  TMI 2008»
13 years 8 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ECTEL
2006
Springer
14 years 11 days ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon
APSEC
2007
IEEE
14 years 3 months ago
Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems
Analyzing accidents is a vital exercise in the development of safety-critical software systems to prevent past accidents from reoccurring in the future. Current practices such as ...
Tariq Mahmood, Edmund Kazmierczak, Tim Kelly, Denn...