Christoph Unger — accepted AI-conference papers

2025

Online Trajectory Replanner for Dynamically Grasping Irregular Objects

Minh Nhat Vu, Florian Grander, Anh Nguyen, Christoph Unger

ICRA 2025

This paper presents a new trajectory replanner for grasping irregular objects. Unlike conventional grasping tasks where the object's geometry is assumed simple, we aim to achieve a “dynamic grasp” of the irregular objects, which requires continuous adjustment during the grasping process. To effectiv

Cited by 0 Source ↗Scholar ↗

2024

ProSIP: Probabilistic Surface Interaction Primitives for Learning of Robotic Cleaning of Edges

Christoph Unger, Christian Hartl-Nesic, Minh Nhat Vu, Andreas Kugi

IROS 2024poster

Learning from demonstration (LfD) has emerged as a promising approach enabling robots to acquire complex tasks directly from human demonstrations. However, tasks involving surface interactions on freeform 3D surfaces present unique challenges in modeling and execution, especially when geometric vari…

Cited by 1 Source ↗Scholar ↗