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2Advancing data-driven process modeling in metal forming
M. Liewald, B. Vogel-Heuser, T. Bergs, M. Huber, and P. Kröger. Automatisierungstechnik, 73 (3): 162–172 (2025)
2 days ago by @unibiblio
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1Generating Realistic Arm Movements in Reinforcement Learning : A Quantitative Comparison of Reward Terms and Task Requirements
J. Charaja, I. Wochner, P. Schumacher, W. Jig, M. Giese, C. Maufroy, A. Bulling, S. Schmitt, G. Martius, and D. Häufle. 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), page 562-568. IEEE, (2024)
3 days ago by @unibiblio
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1Quantifying human upper limb stiffness responses based on a computationally efficient neuromusculoskeletal arm model
M. Sapounaki, P. Schumacher, W. Ilg, M. Giese, C. Maufroy, A. Bulling, S. Schmitt, D. Häufle, and I. Wochner. 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), page 514-519. IEEE, (2024)
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1Reinforcement learning-based architecture search for quantum machine learning
F. Rapp, D. Kreplin, M. Huber, and M. Roth. Machine learning, 6 (1): 015041 (2025)
3 days ago by @unibiblio
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3Results of a quantitative Delphi study investigating needs of people with Traumatic Brachial Plexus Injury
V. Hofmann, C. Maufroy, P. Pott, and U. Schneider. Proceedings of the 58th Annual Meeting of the German Society of Biomedical Engineering (18 - 20 September 2024, Stuttgart), 10, 4, page 315-318. De Gruyter, (2024)
8 days ago by @unibiblio
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1Generating Realistic Arm Movements in Reinforcement Learning : A Quantitative Comparison of Reward Terms and Task Requirements
J. Charaja, I. Wochner, P. Schumacher, W. Ilg, M. Giese, C. Maufroy, A. Bulling, S. Schmitt, G. Martius, and D. Haeufle. 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), page 562-568. IEEE, (2024)
9 days ago by @unibiblio
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2Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model
M. Sapounaki, P. Schumacher, W. Ilg, M. Giese, C. Maufroy, A. Bulling, S. Schmitt, D. Haeufle, and I. Wochner. 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), page 514-519. IEEE, (2024)
9 days ago by @unibiblio
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1Dual data mapping with fine-tuned large language models and asset administration shells toward interoperable knowledge representation
D. Shi, O. Meyer, M. Oberle, and T. Bauernhansl. Robotics and computer-integrated manufacturing, 91 (February): 102837 (2025)
9 days ago by @unibiblio
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2Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force- and Position-Based Robot Skills from Learning-from-Demonstration Models
D. Bargmann, W. Kraus, and M. Huber. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), page 9227-9234. IEEE, (2024)
19 days ago by @unibiblio
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2Data-Efficient Uncertainty-Guided Model-Based Reinforcement Learning with Unscented Kalman Bayesian Neural Networks
X. Wu, E. Wedernikow, and M. Huber. 2024 American Control Conference (ACC), page 104-110. (2024)
19 days ago by @unibiblio
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1Next Stop Metaverse : Opportunities and Barriers of AI-based Virtual Worlds for Companies
P. Schrader, N. Gladilov, F. Falkenau, J. Neuhüttler, G. Wenzel, O. Schöllhammer, K. Hölzle, and T. Bauernhansl. 2024 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE, (2024)
19 days ago by @unibiblio
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2Decarbonization Drivers and Their Impact on Business Models in the Energy-Intensive Manufacturing Industry (EIMI)
F. Mais, and T. Bauernhansl. Sustainability, 16 (11): 4836 (2024)
19 days ago by @unibiblio
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1Autonomous Surface Grinding of Wind Turbine Blades
F. Stöckl, M. Strand, S. Müller, M. Huber, J. Raible, C. Braun, D. Katic, B. Alt, and H. Merkt. Intelligent Autonomous Systems 18 : Volume 2 Proceedings of the 18th International Conference IAS18-2023, volume 2 of Lecture Notes in Networks and Systems, page 451-457. Cham, Springer, (2024)
25 days ago by @unibiblio
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3Improving the Effectiveness of Deep Generative Data
R. Wang, S. Schmedding, and M. Huber. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), page 4910-4920. IEEE, (2024)
a month ago by @unibiblio
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2Leveraging OpenAPI for Microservice Decomposition : A Comparative Study on Features, Encodings and Algorithms on a Real MES
M. Oberle, and T. Bauernhansl. 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), page 785-791. IEEE, (2024)
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1Method for Determining Material Demands by Combing Deterministic and Probabilistic Information in Flexible and Changeable Production Systems
J. Schuhmacher, V. Hummel, D. Palm, and T. Bauernhansl. 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), page 1547-1552. IEEE, (2024)
a month ago by @unibiblio
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2Unsupervised Event Abstraction for Automatic Process Modeling of PLC-controlled Automation Systems
J. Maier, J. Gram, M. Weisbarth, C. Hennebold, and M. Huber. (2023)
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2Function-based Approach for Supply Chain Resilience
T. Hinrichsen, E. Colangelo, and T. Bauernhansl. (2023)
a month ago by @unibiblio
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2A New Era of Value Creation : Vertical Value Creation
S. Schmidt, T. Bauernhansl, T. Schlegel, and J. Siegert. (2023)
a month ago by @unibiblio
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2Planning Method for Future-Proof Factory Buildings
C. Kaucher, K. Erlach, and T. Bauernhansl. (2023)
a month ago by @unibiblio
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2Advancing data-driven process modeling in metal forming

1Generating Realistic Arm Movements in Reinforcement Learning : A Quantitative Comparison of Reward Terms and Task Requirements

1Quantifying human upper limb stiffness responses based on a computationally efficient neuromusculoskeletal arm model

1Reinforcement learning-based architecture search for quantum machine learning

3Results of a quantitative Delphi study investigating needs of people with Traumatic Brachial Plexus Injury

1Generating Realistic Arm Movements in Reinforcement Learning : A Quantitative Comparison of Reward Terms and Task Requirements

2Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model

1Dual data mapping with fine-tuned large language models and asset administration shells toward interoperable knowledge representation

2Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force- and Position-Based Robot Skills from Learning-from-Demonstration Models

2Data-Efficient Uncertainty-Guided Model-Based Reinforcement Learning with Unscented Kalman Bayesian Neural Networks

1Next Stop Metaverse : Opportunities and Barriers of AI-based Virtual Worlds for Companies

2Decarbonization Drivers and Their Impact on Business Models in the Energy-Intensive Manufacturing Industry (EIMI)

1Autonomous Surface Grinding of Wind Turbine Blades

3Improving the Effectiveness of Deep Generative Data

2Leveraging OpenAPI for Microservice Decomposition : A Comparative Study on Features, Encodings and Algorithms on a Real MES

1Method for Determining Material Demands by Combing Deterministic and Probabilistic Information in Flexible and Changeable Production Systems

2Unsupervised Event Abstraction for Automatic Process Modeling of PLC-controlled Automation Systems

2Function-based Approach for Supply Chain Resilience

2A New Era of Value Creation : Vertical Value Creation

2Planning Method for Future-Proof Factory Buildings

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