1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2024
6-DoF Grasp Pose Evaluation and Optimization via Transfer Learning from NeRFs
Gergely Sóti, Xi Huang, Christian Wurll +1
We address the problem of robotic grasping of known and unknown objects using implicit behavior cloning. We train a grasp evaluation model from a small number of demonstrations tha…
cs.RO2023★ 1 cited
Gradient based Grasp Pose Optimization on a NeRF that Approximates Grasp Success
Gergely Sóti, Björn Hein, Christian Wurll
Current robotic grasping methods often rely on estimating the pose of the target object, explicitly predicting grasp poses, or implicitly estimating grasp success probabilities. In…
cs.RO2023
Train What You Know -- Precise Pick-and-Place with Transporter Networks
Gergely Sóti, Xi Huang, Christian Wurll +1
Precise pick-and-place is essential in robotic applications. To this end, we define a novel exact training method and an iterative inference method that improve pick-and-place prec…