1 citations · 2 across the 5 of their papers we have counts for
5 papers
dGrasp: NeRF-Informed Implicit Grasp Policies with Supervised Optimization Slopes
Gergely Sóti, Xi Huang, Christian Wurll +1
We present dGrasp, an implicit grasp policy with an enhanced optimization landscape. This landscape is defined by a NeRF-informed grasp value function. The neural network represent…
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…
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…
Human Emergency Detection during Autonomous Hospital Transports
Andreas Zachariae, Julia Widera, Frederik Plahl +2
Human transports in hospitals are labor-intensive and primarily performed in beds to save time. This transfer method does not promote the mobility or autonomy of the patient. To re…
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…