Maxim Vochten

According to our database, Maxim Vochten authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact.

Maxim Vochten, Ali Mousavi Mohammadi, Arno Verduyn, Tinne De Laet, Erwin Aertbeliën, Joris De Schutter

IEEE Trans. Robotics, December, 2023

Enhancing motion trajectory segmentation of rigid bodies using a novel screw-based trajectory-shape representation.

Arno Verduyn, Maxim Vochten, Joris De Schutter

CoRR, 2023

Shape-Based Path Adaptation and Simulation-Based Velocity Optimization of Initial Tool Trajectories for Robotic Spray Painting.

Arno Verduyn, Joris De Schutter, Wilm Decré, Maxim Vochten

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

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

Riccardo Burlizzi, Maxim Vochten, Joris De Schutter, Erwin Aertbeliën

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

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

Maxim Vochten, Wilm Decré, Erwin Aertbeliën, Joris De Schutter

IEEE Robotics Autom. Lett., 2021

Specification and Control of Human-Robot Handovers Using Constraint-Based Programming.

Maxim Vochten, Lander Vanroye, Jeroen Lambeau, Ken Meylemans, Wilm Decré, Joris De Schutter

Proceedings of the Human-Friendly Robotics 2021, 2021

2020

Estimating the Instantaneous Screw Axis and the Screw Axis Invariant Descriptor of Motion by Means of Inertial Sensors: An Experimental Study with a Mechanical Hinge Joint and Comparison to the Optoelectronic System.

Andrea Ancillao, Maxim Vochten, Erwin Aertbeliën, Wilm Decré, Joris De Schutter

Sensors, 2020

2019

Generalizing demonstrated motion trajectories using coordinate-free shape descriptors.

Maxim Vochten, Tinne De Laet, Joris De Schutter

Robotics Auton. Syst., 2019

2018

Robust Optimization-Based Calculation of Invariant Trajectory Representations for Point and Rigid-body Motion.

Maxim Vochten, Tinne De Laet, Joris De Schutter

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2016

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

Maxim Vochten, Tinne De Laet, Joris De Schutter

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

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

Maxim Vochten, Tinne De Laet, Joris De Schutter

Proceedings of the IEEE International Conference on Robotics and Automation, 2015