1 citations · 2 across the 13 of their papers we have counts for
13 papers
The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Based Indirect Illumination
Hooman Tavakoli Ghinani, Tatjana Legler, Martin Ruskowski
While synthetic data generation resolves the manual labeling bottleneck in computer vision, minimizing the syn-to-real domain gap requires optimizing rendering variables. This pape…
OPC UA Shared-Memory: Conceptual Elaboration and Prototypical Implementation Using Iceoryx2
Thomas Barth, Tatjana Legler, Achim Wagner +1
The increasing virtualization of automation software leads to a growing co-location of heterogeneous applications on shared edge devices and fosters modern microservice architectur…
Learning-Based Strategy for Composite Robot Assembly Skill Adaptation
Khalil Abuibaid, Aleksandr Sidorenko, Achim Wagner +1
Contact-rich robotic skills remain challenging for industrial robots due to tight geometric tolerances, frictional variability, and uncertain contact dynamics, particularly when us…
Sustainable Transfer Learning for Adaptive Robot Skills
Khalil Abuibaid, Vinit Hegiste, Nigora Gafur +2
Learning robot skills from scratch is often time-consuming, while reusing data promotes sustainability and improves sample efficiency. This study investigates policy transfer acros…
A Multi-Camera Vision-Based Approach for Fine-Grained Assembly Quality Control
Ali Nazeri, Shashank Mishra, Achim Wagner +3
Quality control is a critical aspect of manufacturing, particularly in ensuring the proper assembly of small components in production lines. Existing solutions often rely on single…
Federated Action Recognition for Smart Worker Assistance Using FastPose
Vinit Hegiste, Vidit Goyal, Tatjana Legler +1
In smart manufacturing environments, accurate and real-time recognition of worker actions is essential for productivity, safety, and human-machine collaboration. While skeleton-bas…
Enabling Generic Robot Skill Implementation Using Object Oriented Programming
Abdullah Farrukh, Achim Wagner, Martin Ruskowski
Developing robotic algorithms and integrating a robotic subsystem into a larger system can be a difficult task. Particularly in small and medium-sized enterprises (SMEs) where robo…
Seamless Integration: Sampling Strategies in Federated Learning Systems
Tatjana Legler, Vinit Hegiste, Martin Ruskowski
Federated Learning (FL) represents a paradigm shift in the field of machine learning, offering an approach for a decentralized training of models across a multitude of devices whil…
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment
Tatjana Legler, Vinit Hegiste, Ahmed Anwar +1
Federated learning (FL) has emerged as a promising approach to training machine learning models across decentralized data sources while preserving data privacy, particularly in man…
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques
Vinit Hegiste, Snehal Walunj, Jibinraj Antony +2
Federated Learning (FL) has garnered significant attention in manufacturing for its robust model development and privacy-preserving capabilities. This paper contributes to research…
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
Vinit Hegiste, Tatjana Legler, Martin Ruskowski
In the realm of Federated Learning (FL), particularly within the manufacturing sector, the strategy for selecting client weights for server aggregation is pivotal for model perform…
Skills Composition Framework for Reconfigurable Cyber-Physical Production Modules
Aleksandr Sidorenko, Achim Wagner, Martin Ruskowski
While the benefits of reconfigurable manufacturing systems (RMS) are well-known, there are still challenges to their development, including, among others, a modular software archit…
Towards Using Behavior Trees in Industrial Automation Controllers
Aleksandr Sidorenko, Mahdi Rezapour, Achim Wagner +1
The Industry 4.0 paradigm manifests the shift towards mass customization and cyber-physical production systems (CPPS) and sets new requirements for industrial automation software i…