5 papers
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…
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…
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…
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…
Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab
Leon GoriÃen, 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…