M. Vochten

Improving Generalization in Trajectory Learning through Coordinate-free Shape Descriptors

J. Schutter, T. Laet, M. Vochten, 2019 .

An optimal method for calculating an average screw axis for a joint, with improved sensitivity to noise and providing an analysis of the dispersion of the instantaneous axes

J. De Schutter, E. Aertbeliën, M. Vochten, 2022, PloS one.

Generalizing demonstrated motion trajectories using coordinate-free shape descriptors

Joris De Schutter, Tinne De Laet, Maxim Vochten, 2019, Robotics Auton. Syst..

Comparison of rigid body motion trajectory descriptors for motion representation and recognition

Joris De Schutter, Tinne De Laet, Maxim Vochten, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Shape-Preserving and Reactive Adaptation of Robot End-Effector Trajectories

Erwin Aertbeliën, Maxim Vochten, Joris De Schutter, 2021, IEEE Robotics and Automation Letters.

Generalizing demonstrated motions and adaptive motion generation using an invariant rigid body trajectory representation

Joris De Schutter, Tinne De Laet, Maxim Vochten, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Extending extrapolation capabilities of probabilistic motion models learned from human demonstrations using shape-preserving virtual demonstrations

J. Schutter, E. Aertbeliën, M. Vochten, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Novel Procedure for Knee Flexion Angle Estimation Based on Functionally Defined Coordinate Systems and Independent of the Marker Landmarks

J. De Schutter, E. Aertbeliën, M. Vochten, 2022, International journal of environmental research and public health.