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,Benedict Stephan,Dustin Aganian,Lars Hinneburg,Markus Eisenbach,Steffen Müller,Horst-Michael Gross
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 outperforms the earlier work on RGB(D)-based methods. We show that RGB(D)-based methods are being un...
