Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications

no code implementations • 16 Feb 2021 • Andras Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Buerger

In this paper we show that given a 3D model of an object, we can generate its descriptor space image, which allows for supervised training of DONs.

Object

Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks

no code implementations • 24 Aug 2020 • Leonel Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Büerger

Furthermore, to accomplish complex manipulation tasks, robots should be able to sequence several skills and adapt them to changing situations.