activity
20242026
most citedDemonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab

2 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

ProGAN-Based Synthetic Image Generation for Industrial Visual Inspection of Metallic Parts

Hossein Omid Beiki, Sepehr Asgari, Oliver Petrovic +1

Automated visual inspection is essential for efficient repair and recycling of metallic components. AI-based defect detection is a strong fit. However, it is often constrained by s…

cs.RO2026

State-of-the-Art in Learning-by-Demonstration with Passive Observation for Industrial Assembly Automation

David Koetter, Oliver Petrovic, Christian Brecher

Learning-by-Demonstration (LbD) enables intuitive robot programming by capturing expert skills, which is crucial for agility in high-mix, low- volume manufacturing. This systematic…

cs.RO2026

APPROVE: Visual End-User-in-the-Loop Robot Programming with LLMs

Bijan Kavousian, Miray Özakkas, Josefine Monnet +2

Programming robots remains challenging for non-experts, as traditional methods require expert knowledge and even block-based interfaces often lack flexibility. Recent work has expl…

cs.RO2026

Automating Manual Tasks through Intuitive Robot Programming and Cognitive Robotics

Bijan Kavousian, Petar Tesic, Oliver Petrovic +1

This paper presents a novel concept for intuitive end-user programming of robots, inspired by natural interaction between humans. Natural language and supportive gestures are trans…

cs.RO2025

Zero-Shot Parameter Learning of Robot Dynamics Using Bayesian Statistics and Prior Knowledge

Carsten Reiners, Minh Trinh, Lukas Gründel +4

Inertial parameter identification of industrial robots is an established process, but standard methods using Least Squares or Machine Learning do not consider prior information abo…

cs.RO2025

Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification

Minh Trinh, Andreas René Geist, Josefine Monnet +3

Accurate inverse dynamics models are essential tools for controlling industrial robots. Recent research combines neural network regression with inverse dynamics formulations of the…

cs.RO2024★ 2 cited

Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab

Leon Gorißen, Jan-Niklas Schneider, Mohamed Behery +11

The digital transformation of production requires new methods of data integration and storage, as well as decision making and support systems that work vertically and horizontally…