Markus Wnuk — accepted AI-conference papers

2023

Topology Matching of Branched Deformable Linear Objects

Manuel Zürn, Markus Wnuk, Armin Lechler, Alexander Verl

ICRA 2023poster

This paper presents a new method for correspondence estimation between a previously known topology of a branched deformable linear object and an image representation from a 3D stereo camera. Although frequently encountered in production, robotic deformable linear object manipulation still lacks reli…

Cited by 11 Source ↗Scholar ↗

2020

Kinematic Multibody Model Generation of Deformable Linear Objects from Point Clouds

Markus Wnuk, Christoph Hinze, Armin Lechler, Alexander Verl

IROS 2020poster

Control and localization of deformable linear objects (DLOs) require models to handle their deformation. This paper proposes an approach to automatically generate a model from available visual sensor information. Based on point cloud data obtained from a 3D stereo camera, the kinematics of a multibo…

Cited by 15 Source ↗Scholar ↗