Search Results for author: Rainer Jäkel

Found 9 papers, 2 papers with code

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots

no code implementations26 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.

Industrial Robots

Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming

no code implementations21 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.

Industrial Robots

Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations

2 code implementations5 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.

Code Generation Common Sense Reasoning +1

Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments

no code implementations15 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.

Industrial Robots

Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation

no code implementations19 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.

Robot Program Parameter Inference via Differentiable Shadow Program Inversion

1 code implementation26 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.

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