6 citations · 8 across the 3 of their papers we have counts for
3 papers · 1 filter
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World
Martin Rudorfer, Markus Suchi, Mohan Sridharan +2
This paper presents BURG-Toolkit, a set of open-source tools for Benchmarking and Understanding Robotic Grasping. Our tools allow researchers to: (1) create virtual scenes for gene…
End-to-End Learning to Grasp via Sampling from Object Point Clouds
Antonio Alliegro, Martin Rudorfer, Fabio Frattin +2
The ability to grasp objects is an essential skill that enables many robotic manipulation tasks. Recent works have studied point cloud-based methods for object grasping by starting…
Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
Felix von Drigalski, Christian Schlette, Martin Rudorfer +5
The Industrial Assembly Challenge at the World Robot Summit was held in 2018 to showcase the state-of-the-art of autonomous manufacturing systems. The challenge included various ta…