Andreas Holzinger

SGFAM: Semantic and Geometric Features Aggregation for Dense Shape Matching in Generalizable Robotic Manipulation

To automate processes like polishing or cleaning at scale, robots must be able to adapt learned skills to new object instances without manual reprogramming. Applications requiring tool-surface interactions face a significant challenge in transferring manipulation strategies to novel objects due to s

SilRef: Joint Visual Silhouette and Tactile Pose Optimization for Transparent Object Manipulation

Transparent objects are ubiquitous in laboratory automation settings, as liquids need to be visually controlled regularly. Automating laboratory processes would make the creation of small-batch medication feasible, thus making more personalized and better-targeted treatments more accessible. However

SilRef: Joint Visual Silhouette and Tactile Pose Optimization for Transparent Object Manipulation