50 citations · 53 across the 4 of their papers we have counts for
6 papers
Scalable Scene Flow from Point Clouds in the Real World
Philipp Jund, Chris Sweeney, Nichola Abdo +2
Autonomous vehicles operate in highly dynamic environments necessitating an accurate assessment of which aspects of a scene are moving and where they are moving to. A popular appro…
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
Tim Welschehold, Nichola Abdo, Christian Dornhege +1
Learning from demonstrations is a promising paradigm for transferring knowledge to robots. However, learning mobile manipulation tasks directly from a human teacher is a complex pr…
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning
Philipp Jund, Andreas Eitel, Nichola Abdo +1
To operate intelligently in domestic environments, robots require the ability to understand arbitrary spatial relations between objects and to generalize them to objects of varying…
Metric Learning for Generalizing Spatial Relations to New Objects
Oier Mees, Nichola Abdo, Mladen Mazuran +1
Human-centered environments are rich with a wide variety of spatial relations between everyday objects. For autonomous robots to operate effectively in such environments, they shou…
The Freiburg Groceries Dataset
Philipp Jund, Nichola Abdo, Andreas Eitel +1
With the increasing performance of machine learning techniques in the last few years, the computer vision and robotics communities have created a large number of datasets for bench…
Collaborative Filtering for Predicting User Preferences for Organizing Objects
Nichola Abdo, Cyrill Stachniss, Luciano Spinello +1
As service robots become more and more capable of performing useful tasks for us, there is a growing need to teach robots how we expect them to carry out these tasks. However, diff…