6 citations · 11 across the 15 of their papers we have counts for
6 papers · 1 filter
SCOPE: Semantic Conditioning for Sim2Real Category-Level Object Pose Estimation in Robotics
Peter Hönig, Stefan Thalhammer, Jean-Baptiste Weibel +2
Object manipulation requires accurate object pose estimation. In open environments, robots encounter unknown objects, which requires semantic understanding in order to generalize b…
Sim2Real Transfer for Vision-Based Grasp Verification
Pau Amargant, Peter Hönig, Markus Vincze
The verification of successful grasps is a crucial aspect of robot manipulation, particularly when handling deformable objects. Traditional methods relying on force and tactile sen…
LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
Marc Glocker, Peter Hönig, Matthias Hirschmanner +1
We present an embodied robotic system with an LLM-driven agent-orchestration architecture for autonomous household object management. The system integrates memory-augmented task pl…
Category-Level and Open-Set Object Pose Estimation for Robotics
Peter Hönig, Matthias Hirschmanner, Markus Vincze
Object pose estimation enables a variety of tasks in computer vision and robotics, including scene understanding and robotic grasping. The complexity of a pose estimation task depe…
Multi-Modal 3D Mesh Reconstruction from Images and Text
Melvin Reka, Tessa Pulli, Markus Vincze
6D object pose estimation for unseen objects is essential in robotics but traditionally relies on trained models that require large datasets, high computational costs, and struggle…
Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection
Tessa Pulli, Peter Hönig, Stefan Thalhammer +2
Object pose estimation of transparent objects remains a challenging task in the field of robot vision due to the immense influence of lighting, background, and reflections. However…