1 code implementation • 13 Sep 2024 • Benjamin Alt, Claudius Kienle, Darko Katic, Rainer Jäkel, Michael Beetz
This paper presents SPI-DP, a novel first-order optimizer capable of optimizing robot programs with respect to both high-level task objectives and motion-level constraints.
no code implementations • 22 Jul 2024 • Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann
High-level robot skills represent an increasingly popular paradigm in robot programming.
no code implementations • 30 Apr 2024 • Benjamin Alt, Johannes Zahn, Claudius Kienle, Julia Dvorak, Marvin May, Darko Katic, Rainer Jäkel, Tobias Kopp, Michael Beetz, Gisela Lanza
While recent advances in deep learning have demonstrated its transformative potential, its adoption for real-world manufacturing applications remains limited.
no code implementations • 21 Apr 2024 • Benjamin Alt, Julia Dvorak, Darko Katic, Rainer Jäkel, Michael Beetz, Gisela Lanza
Over the past decade, deep learning helped solve manipulation problems across all domains of robotics.
no code implementations • 26 Feb 2024 • Benjamin Alt, Florian Stöckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Ringle, Darko Katic, Rainer Jäkel, Michael Beetz, Marcus Strand, Marco F. Huber
Surface treatment tasks such as grinding, sanding or polishing are a vital step of the value chain in many industries, but are notoriously challenging to automate.
no code implementations • 21 Dec 2023 • Benjamin Alt, Minh Dang Nguyen, Andreas Hermann, Darko Katic, Rainer Jäkel, Rüdiger Dillmann, Eric Sax
The use of autonomous robots for assistance tasks in hospitals has the potential to free up qualified staff and im-prove patient care.
no code implementations • 21 Dec 2023 • Benjamin Alt, Urs Keßner, Aleksandar Taranovic, Darko Katic, Andreas Hermann, Rainer Jäkel, Gerhard Neumann
Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts.
2 code implementations • 5 Jun 2023 • Benjamin Alt, Franklin Kenghagho Kenfack, Andrei Haidu, Darko Katic, Rainer Jäkel, Michael Beetz
Aging societies, labor shortages and increasing wage costs call for assistance robots capable of autonomously performing a wide array of real-world tasks.
no code implementations • 15 Jul 2022 • Benjamin Alt, Christian Kunz, Darko Katic, Rayan Younis, Rainer Jäkel, Beat Peter Müller-Stich, Martin Wagner, Franziska Mathis-Ullrich
The semantic segmentation of surgical scenes is a prerequisite for task automation in robot assisted interventions.
no code implementations • 15 Jul 2022 • Benjamin Alt, Darko Katic, Rainer Jäkel, Michael Beetz
In both industrial and service domains, a central benefit of the use of robots is their ability to quickly and reliably execute repetitive tasks.
no code implementations • 19 May 2021 • Sven Dittus, Benjamin Alt, Andreas Hermann, Darko Katic, Rainer Jäkel, Jürgen Fleischer
This paper introduces an efficient procedure to localize user-defined points on the surface of deformable objects and track their positions in 3D space over time.
1 code implementation • 26 Mar 2021 • Benjamin Alt, Darko Katic, Rainer Jäkel, Asil Kaan Bozcuoglu, Michael Beetz
To this end, we present Shadow Program Inversion (SPI), a novel approach to infer optimal skill parameters directly from data.
no code implementations • 1 Aug 2018 • Sebastian Bodenstedt, Antonia Ohnemus, Darko Katic, Anna-Laura Wekerle, Martin Wagner, Hannes Kenngott, Beat Müller-Stich, Rüdiger Dillmann, Stefanie Speidel
On manually provided bounding boxes, we achieve a instrument type recognition rate of up to 58% and on automatically detected bounding boxes up to 49%.