Julian Raible — accepted AI-conference papers

2024

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots

Benjamin Alt, Florian Stöckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan +7

ICRA 2024poster

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. We present RoboGrind, an integrated system for the intuitive, interactive automation of surface treatment tasks with industrial robots.…

Cited by 3 Source ↗Scholar ↗

2021

Hybrid Data-Driven Modelling for Inverse Control of Hydraulic Excavators

Jonas Weigand, Julian Raible, Nico Zantopp, Ozan Demir, Adrian Trachte, Achim Wagner +1

IROS 2021poster

We present a comprehensive comparison of hybrid Data-Driven Control (DDC) applied on a hydraulic excavator. DDC offers a state-of-the-art, high performance control based on data and expert knowledge. On the one hand, expert knowledge is complex to adapt to each unique excavator requiring substantial…

Cited by 10 Source ↗Scholar ↗