2022
On the Importance of Label Encoding and Uncertainty Estimation for Robotic Grasp Detection
Benedict Stephan, Dustin Aganian, Lars Hinneburg, Markus Eisenbach, Steffen Müller, Horst-Michael Gross
IROS 2022poster
Automated grasping of arbitrary objects is an essential skill for many applications such as smart manufacturing and human robot interaction. This makes grasp detection a vital skill for automated robotic systems. Recent work in model-free grasp detection uses point cloud data as input and typically…