Maxim Vochten

Maxim Vochten
  • Doctor of Engineering
  • Senior Researcher at Royal Military Academy

About

16
Publications
4,041
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102
Citations
Introduction
I am a robotics researcher working on novel trajectory representations to enable motion recognition and robot task learning from sparse data. See my personal website for more information: https://maximvochten.github.io/
Current institution
Royal Military Academy
Current position
  • Senior Researcher
Additional affiliations
KU Leuven
Position
  • Senior Researcher
Education
August 2013 - September 2018
KU Leuven
Field of study
  • Mechanical Engineering
September 2011 - July 2018
KU Leuven
Field of study
  • Mechanical Engineering
September 2008 - July 2011
KU Leuven
Field of study
  • Mechanical Engineering

Publications

Publications (16)
Preprint
Full-text available
The ability of robots to recognize human gestures facilitates a natural and accessible human-robot collaboration. However, most work in gesture recognition remains rooted in reference frame-dependent representations. This poses a challenge when reference frames vary due to different work cell layouts, imprecise frame calibrations, or other environm...
Conference Paper
Full-text available
Trajectory segmentation refers to dividing a trajectory into meaningful consecutive sub-trajectories. This paper focuses on trajectory segmentation for 3D rigid-body motions. Most segmentation approaches in the literature represent the body’s trajectory as a point trajectory, considering only its translation and neglecting its rotation. We propose...
Article
Full-text available
Invariant descriptors of point and rigid-body motion trajectories have been proposed in the past as representative task models for motion recognition and generalization. Currently, no invariant descriptor exists for representing force trajectories, which appear in contact tasks. This article introduces invariant descriptors for force trajectories b...
Preprint
Full-text available
Invariant descriptors of point and rigid-body motion trajectories have been proposed in the past as representative task models for motion recognition and generalization. Currently, no invariant descriptor exists for representing force trajectories which appear in contact tasks. This paper introduces invariant descriptors for force trajectories by e...
Article
Full-text available
Knee angles are kinematic quantities that are commonly presented in gait analysis reports. They are typically calculated as the relative angles between the anatomical coordinate systems rigidly attached to the femur and the tibia. To give these angles a biomechanical meaning, the coordinate systems must be defined with respect to some anatomical la...
Article
Full-text available
The instantaneous (ISA) and average (ASA) screw axes are techniques commonly adopted in motion analysis to functionally locate the rotation axis and center of rotation of a joint. Several approaches for calculating such axes were proposed in literature and the main limitations were identified as the need for using a threshold on angular displacemen...
Chapter
Full-text available
This paper introduces a constraint-based specification of an object handover in order to simplify the implementation of reactive handover controllers. A number of desired robot behaviors are identified in different phases of the handover and specified as constraints. The degrees-of-freedom in the reaching motion towards the tracked object, such as...
Article
Full-text available
Variation in task requirements and operation in uncertain environments require robots that can continuously adapt their motions during execution. To do this successfully, the original motion characteristics must be preserved. This paper presents an approach for on-line adaptation of end effector trajectories for robot manipulators. The trajectory g...
Article
Full-text available
The motion of a rigid body can be represented by the instantaneous screw axis (ISA, also known as the helical axis). Recently, an invariant representation of motion based on the ISA, namely, the screw axis invariant descriptor (SAID), was proposed in the literature. The SAID consists of six scalar features that are independent from the coordinate s...
Article
Full-text available
In learning by demonstration, the generalization of motion trajectories far away from the set of demonstrations is often limited by the dependency of the learned models on arbitrary coordinate references. Trajectory shape descriptors have the potential to remove these dependencies by representing demonstrated trajectories in a coordinate-free way....
Conference Paper
Full-text available
(Semi-) autonomous complex UAV missions, such as inspection or search-and-rescue in uncertain dynamic environments, require obstacle avoidance and operator shared control. Combining humans' cognitive abilities with fast automation is the key for such missions. This paper presents a flight control system architecture based on the instantaneous Task...
Conference Paper
Full-text available
This paper presents an overview and comparison of minimal and complete rigid body motion trajectory descriptors, usable in applications like motion recognition and programming by demonstration. Motion trajectory descriptors are able to deal with potentially unwanted variations acting on the motion trajectory such as changes in the execution time, t...

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