Thorsten Schüppstuhl

Orcid: 0000-0002-9616-3976

According to our database1, Thorsten Schüppstuhl authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings.
CoRR, 2024

2023
A Comparative Study of Visual Identification Methods for Highly Similar Engine Tubes in Aircraft Maintenance, Repair and Overhaul.
Sensors, August, 2023

Towards Recognition of Human Actions in Collaborative Tasks with Robots: Extending Action Recognition with Tool Recognition Methods.
Sensors, 2023

Industrial Segment Anything - a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul.
CoRR, 2023

AI-based Endpoint Detection for Surface Defect Removal on Aircraft Components.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

2022
Proxying ROS communications - enabling containerized ROS deployments in distributed multi-host environments.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

STRIPED: A Threat Analysis Method for IoT Systems.
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021
Semantically enriched spatial modelling of industrial indoor environments enabling location-based services.
CoRR, 2021

Visual AI Applications on Smart Delivery Units.
Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2021

A Solution to the Generalized ROS Hardware IO Problem - A Generic Modbus/TCP Device Driver for PLCs, Sensors and Actuators.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2014
Numerical controlled robot crawler: new resource for industries with large scale products.
Prod. Eng., 2014

Special issue WGP: "Assembly, Handling and Industrial Robotics".
Prod. Eng., 2014

A method for increasing the accuracy of "on-workpiece" machining with small industrial robots for composite repair.
Prod. Eng., 2014


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