Enrico Di Lello

Bayesian time-series models for continuous fault detection and recognition in industrial robotic tasks

Herman Bruyninckx, Tinne De Laet, Enrico Di Lello, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Bayesian Time-Series Models: Expert Knowledge-Driven Inference and Learning for Engineering Applications ; Bayesiaanse tijdreeksmodellen: inferentie en leren gedreven door expertkennis voor ingenieurstoepassingen

Enrico Di Lello, 2015 .

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

Kaat Desloovere, Angela Nieuwenhuys, Tinne De Laet, 2014 .

Robotic Furniture in a Smart Environment: The PEIS Table

Alessandro Saffiotti, Amy Loutfi, Federico Pecora, 2009, Intelligent Environments.

Augmented Switching Linear Dynamical System Model for Gas Concentration Estimation with MOX Sensors in an Open Sampling System

Herman Bruyninckx, Marco Trincavelli, Tinne De Laet, 2014, Sensors.

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

Herman Bruyninckx, Tinne De Laet, Enrico Di Lello, 2012 .

Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation

Luca Bascetta, Herman Bruyninckx, Håkan Ardö, 2011, IROS 2011.

Bayesian Hidden Markov Models for Segmentation of Gait Motion Capture Data

Kaat Desloovere, Angela Nieuwenhuys, Tinne De Laet, 2014 .

Recognition of 6 DOF rigid body motion trajectories using a coordinate-free representation

Joris De Schutter, Roel Matthysen, Tinne De Laet, 2011, 2011 IEEE International Conference on Robotics and Automation.

HDP-HMM for abnormality detection in robotic assembly

Herman Bruyninckx, Tinne De Laet, Enrico Di Lello, 2012 .

Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation

Paolo Rocco, Gianni Ferretti, Luca Bascetta, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.