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cs.RO2025
Towards a Multi-Embodied Grasping Agent
Roman Freiberg, Alexander Qualmann, Ngo Anh Vien +1
Multi-embodiment grasping focuses on developing approaches that exhibit generalist behavior across diverse gripper designs. Existing methods often learn the kinematic structure of…
cs.RO2024
Diffusion for Multi-Embodiment Grasping
Roman Freiberg, Alexander Qualmann, Ngo Anh Vien +1
Grasping is a fundamental skill in robotics with diverse applications across medical, industrial, and domestic domains. However, current approaches for predicting valid grasps are…
cs.RO2024
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking
Yushi Liu, Alexander Qualmann, Zehao Yu +5
Bin picking is an important building block for many robotic systems, in logistics, production or in household use-cases. In recent years, machine learning methods for the predictio…