Andras G. Kupcsik — accepted AI-conference papers

2021

Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations

An T. Le, Meng Guo, Niels van Duijkeren, Leonel Rozo, Robert Krug, Andras G. Kupcsik +1

IROS 2021poster

Learning from Demonstration (LfD) provides an intuitive and fast approach to program robotic manipulators. Task parameterized representations allow easy adaptation to new scenes and online observations. However, this approach has been limited to pose-only demonstrations and thus only skills with spa…

Cited by 25 Source ↗Scholar ↗

2020

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

Leonel Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler +5

IROS 2020poster

Enabling robots to quickly learn manipulation skills is an important, yet challenging problem. Such manipulation skills should be flexible, e.g., be able adapt to the current workspace configuration. Furthermore, to accomplish complex manipulation tasks, robots should be able to sequence several ski…

Cited by 27 Source ↗Scholar ↗