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Dive into the research topics where Tinne De Laet is active.

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Featured researches published by Tinne De Laet.


international conference on advanced intelligent mechatronics | 2011

A split-horizon scheme for on-line friction parameter estimation

Max Boegli; Tinne De Laet; Joris De Schutter; Jan Swevers

Friction model identification is in most cases carried out in an off-line manner, where separate measurements are performed to identify the presliding and sliding friction characteristics using specific excitation signals. However, a need exists to update on-line friction parameters to track friction dynamics during normal machine operation. This paper presents some preliminary results of a split horizon estimator where friction parameters are updated on-line during regular point-to-point motions. The split horizon approach alleviates the non-smoothness of the friction model and improves the convergence of the estimation problem. The friction behavior is modeled using the Generalized Maxwell-Slip (GMS) dynamical friction model, which is known to describe all essential friction characteristics in presliding and sliding motions.


Archive | 2012

Hierarchical Dirichlet Process Hidden Markov Models for abnormality detection in robotic assembly

Enrico Di Lello; Tinne De Laet; Herman Bruyninckx


Workshop on Latest Advances on Natural Motion Understanding and Human Motion Synthesis | 2014

Identification of Gait Events Combining Bayesian Hidden Markov Models and Linear Regression

Enrico Di Lello; Angela Nieuwenhuys; Tinne De Laet; Kaat Desloovere


Archive | 2014

Statistical parametric mapping to identify gait pattern features in children with cerebral palsy

Angela Nieuwenhuys; Davide Monari; Kevin Deschamps; Tinne De Laet; Guy Molenaers; Kaat Desloovere


Archive | 2014

Bayesian Hidden Markov Models for Segmentation of Gait Motion Capture Data

Enrico Di Lello; Angela Nieuwenhuys; Kaat Desloovere; Tinne De Laet


Proceedings of the international Digital Human Modeling Symposium | 2013

Hand Gesture Recognition for surgical control based on depth camera

Inge Famaey; Koen Buys; Dorien Van Deun; Tinne De Laet; Jos Vander Sloten; Joris De Schutter


Proceedings of the 41st SEFI Conference | 2013

Teaching inspires research and vice versa case study on matrix/vector methods for 3D kinematics

Tinne De Laet; Joris De Schutter


Archive | 2013

Acceleration- vs. velocity-resolved constraint-based instantaneous task specification and estimation (iTaSC)

Dominick Vanthienen; Tinne De Laet; Wilm Decré; Joris De Schutter


Proceedings of the 9th National Conference on Theoretical and Applied Mechanics (NCTAM2012) | 2012

An Invariant Representation to Facilitate Recognition of Rigid Body Motion Trajectories

Tjorven Delabie; Tinne De Laet; Jochem F.M. De Schutter; Roel Matthysen; Joris De Schutter


Archive | 2012

HDP-HMM for abnormality detection in robotic assembly

Enrico Di Lello; Tinne De Laet; Herman Bruyninckx

Collaboration


Dive into the Tinne De Laet's collaboration.

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Joris De Schutter

Katholieke Universiteit Leuven

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Herman Bruyninckx

Katholieke Universiteit Leuven

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Dominick Vanthienen

Katholieke Universiteit Leuven

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Enrico Di Lello

Katholieke Universiteit Leuven

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Koen Buys

Katholieke Universiteit Leuven

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Ruben Smits

Katholieke Universiteit Leuven

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Wilm Decré

Katholieke Universiteit Leuven

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Angela Nieuwenhuys

Katholieke Universiteit Leuven

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Markus Klotzbücher

Katholieke Universiteit Leuven

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Steven Bellens

Katholieke Universiteit Leuven

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