2 citations · 3 across the 3 of their papers we have counts for
3 papers
Predicting Maximum Permitted Process Forces for Object Grasping and Manipulation Using a Deep Learning Regression Model
S. Wucherer, R. McMurray, K. Y. Ng +1
During the execution of handling processes in manufacturing, it is difficult to measure the process forces with state-of-the-art gripper systems since they usually lack integrated…
Semantic 3D scene segmentation for robotic assembly process execution
Andreas Wiedholz, Stefanie Wucherer, Simon Dietrich
Adapting robot programmes to changes in the environment is a well-known industry problem, and it is the reason why many tedious tasks are not automated in small and medium-sized en…
Learning to Predict Grip Quality from Simulation: Establishing a Digital Twin to Generate Simulated Data for a Grip Stability Metric
Stefanie Wucherer, Robert McMurray, Kok Yew Ng +1
A robust grip is key to successful manipulation and joining of work pieces involved in any industrial assembly process. Stability of a grip depends on geometric and physical proper…