Nonlinear Trajectory Control for Deformable Linear Objects based on Physics Simulation. - Christoph Hinze; Manuel Zürn; Markus Wnuk; Armin Lechler; Alexander Verl (IECON, 2020)

Kinematic Trajectory Following Control For Constrained Deformable Linear Objects. - Manuel Zürn; Markus Wnuk; Christoph Hinze; Armin Lechler; Alexander Verl; Weiliang Xu 001 (CASE, 2021)

Tracking Branched Deformable Linear Objects With Structure Preserved Registration by Branch-wise Probability Modification. - Markus Wnuk; Christoph Hinze; Manuel Zürn; Qizhen Pan; Armin Lechler; Alexander Verl (M2VIP, 2021)

Software architecture for deformable linear object manipulation: a shape manipulation case study. - Manuel Zürn; Markus Wnuk; Armin Lechler; Alexander Verl (RoSE@ICSE, 2022)

Deep Learning-Based Instance Segmentation for Feature Extraction of Branched Deformable Linear Objects for Robotic Manipulation. - Manuel Zürn; Annika Kienzlen; Lars Klingel; Armin Lechler; Alexander Verl; Shiyi Ren; Weiliang Xu 001 (CASE, 2023)

Topology Matching of Branched Deformable Linear Objects. - Manuel Zürn; Markus Wnuk; Armin Lechler; Alexander Verl (ICRA, 2023)

Topology Prediction of Branched Deformable Linear Objects Using Deep Learning. - Shengzhe Ouyang; Manuel Zürn; Lukas Zeh; Armin Lechler; Alexander Verl (IEEE Access, 2024)