Jan Baumgärtner, M.Sc.

Forschungs- und Arbeitsgebiete:

Themenbereich Wertstromkinematik
Robotik in der Produktion
Bewegungsplanung, Aufgabenplanung und Zellenlayoutplanung
Maschinelles Lernen in der Produktion

Allgemeine Aufgaben:

Vorlesungsbetreuer der Vorlesung WZM, Kapitel Prozessüberwachung
Inhaltlicher Verantwortlicher der Vorlesung KI in der Produktion

Projekte:

Lebenslauf:

seit 04/2022	Wissenschaftlicher Mitarbeiter am Institut für Produktionstechnik (wbk) des Karlsruher Instituts für Technologie (KIT)
04/2021-03/2022	Wissenschaftlicher Mitarbeiter am Institut für Technische Informatik der Universität Heidelberg
08/2019-03/2021	Studium der Technischen Informatik (M.Sc.) an der Universität Heidelberg

Veröffentlichungen

Laser Tracker Placement Optimization for Highly Flexible Manufacturing Systems
Goebels, M.; Baumgärtner, J.; Puchta, A.; Fleischer, J.
2025. Production at the Leading Edge of Technology. Ed.: W.-G. Drossel, Springer

Efficient Deployment of Machine Learning Models in Manufacturing and Industrial Environments using ROS
Frisch, M.; Baumgärtner, J.; Heider, I.; Puchta, A.; Fleischer, J.
2024. Procedia CIRP, 130, 188–193. doi:10.1016/j.procir.2024.10.074

One Problem, One Solution: Unifying Robot Design and Cell Layout Optimization
Baumgärtner, J.; Puchta, A.; Fleischer, J.
2024. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, 14th-18th October 2024, 2292–2298, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS58592.2024.10801417

Quasi Time-Optimal Path Tracking for Pneumatic Robots Considering Third-Order Actuator Constraints
Kanagalingam, G.; Hoffmann, K.; Baumgärtner, J.; Bertschinger, B.; Reichelt, S.; Fleischer, J.; Sawodny, O.
2024. 2024 American Control Conference (ACC), Toronto, 8th-12th July 2024, 5258 – 5263, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ACC60939.2024.10644892

Supervised Domain Adaptation for Surface Defect Detection Leveraging Partial Data Availability
Heider, I.; Baumgärtner, J.; Bartz, P.; Puchta, A.; Fleischer, J.
2024. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, 28th August 2024 - 1st September 2024, 4134–4139, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CASE59546.2024.10711640

Generalized Partially Destructive Disassembly Planning for Robotic Disassembly
Hansjosten, M.; Baumgärtner, J.; Fleischer, J.
2024. 2024 IEEE International Conference on Robotics and Automation (ICRA),Yokohama, 13th-17th May 2024, 1978 – 1984, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA57147.2024.10610546

Milling using two mechatronically coupled robots
Goebels, M.; Baumgärtner, J.; Fuchs, T.; Mühlbeier, E.; Puchta, A.; Fleischer, J.
2024. Procedia CIRP, 130, 867–872. doi:10.1016/j.procir.2024.10.177

Towards a Testing Framework for Machine Learning Model Deployment in Manufacturing Systems
Heider, I.; Baumgärtner, J.; Bott, A.; Ströbel, R.; Puchta, A.; Fleischer, J.
2024. 10th CIRP Conference on Assembly Technology and Systems (CIRP CATS 2024) Hrsg.: Fleischer , Jürgen; Jörg, Krüger, 127, 122–128. doi:10.1016/j.procir.2024.07.022

Camera Placement Optimization for a Novel Modular Robot Tracking System
Baumgärtner, J.; Bertschinger, B.; Hoffmann, K.; Puchta, A.; Sawodny, O.; Reichelt, S.; Fleischer, J.
2023. 2023 IEEE SENSORS, Vienna, Austria, 29 October 2023 - 01 November 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SENSORS56945.2023.10324941

Increasing Robot Precision by Stroke Division
Baumgärtner, J.; Puchta, A.; Bertschinger, B.; Kanagalingam, G.; Sawodny, O.; Reichelt, S.; Fleischer, J.
2023. 2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland, 22-25 August 2023. Ed.: A. Bartoszewicz, 205–210, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MMAR58394.2023.10242468

PyBullet Industrial: A process-aware robot simulation
Baumgärtner, J.; Hansjosten, M.; Schönhofen, D.; Fleischer, J.
2023. Journal of Open Source Software, 8 (85), Art.-Nr.: 5174. doi:10.21105/joss.05174

Optimal Robot Workpiece Placement for Maximized Repeatability
Baumgärtner, J.; Gönnheimer, P.; Fleischer, J.
2023. Advances in System-Integrated Intelligence – Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy. Ed.: M. Valle, 252–261, Springer International Publishing. doi:10.1007/978-3-031-16281-7_25

Highly dynamic robotic leg for non-biomimetic walking robots
Baumgaertner, J.; Bach, J.; Masia, L.; Badreddin, E.; Pott, P. P.
2022. ACTUATOR 2022; International Conference and Exhibition on New Actuator Systems and Applications, Mannheim, Deutschland, 29-30 June 2022, 1–4, Institute of Electrical and Electronics Engineers (IEEE)

TriP: A Python package for the kinematic modeling of serial-parallel hybrid robots
Baumgärtner, J.; Miller, T.
2022. Journal of Open Source Software, 7 (71), 3967. doi:10.21105/joss.03967