10 citations · 19 across the 15 of their papers we have counts for
9 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…
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings
Michael Koller, Timothy Patten, Markus Vincze
Assistive multi-armed bandit problems can be used to model team situations between a human and an autonomous system like a domestic service robot. To account for human biases such…
Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber
Zhi Yan, Simon Schreiberhuber, Georg Halmetschlager +3
This paper presents the perception system of a new professional cleaning robot for large public places. The proposed system is based on multiple sensors including 3D and 2D lidar,…
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
Timothy Patten, Kiru Park, Markus Vincze
This article presents a method for grasping novel objects by learning from experience. Successful attempts are remembered and then used to guide future grasps such that more reliab…
In-pipe Robotic System for Pipe-joint Rehabilitation in Fresh Water Pipes
Luis A. Mateos, Markus Vincze
The robot's objective is to rehabilitate the pipe joints of fresh water supply systems by crawling into water canals and applying a restoration material to repair the pipes. The ro…
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets
Markus Suchi, Timothy Patten, David Fischinger +1
Developing robot perception systems for recognizing objects in the real-world requires computer vision algorithms to be carefully scrutinized with respect to the expected operating…