Not finding it? Sign in to also search OpenAlex live.
-
Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models2023 Advances in transdisciplinary engineering book-chapter Computer Science Reinforcement Learning in Robotics Open access
Akshay Paranjape, Nils Plettenberg, Markus Ohlenforst, Robert Heinrich Schmitt
2citations -
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Luise F. Kaven, Artur M. Schweidtmann, Jana Israel, Nadja Wolter, Alexander Mitsos
0citations -
Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment2023 Winter Simulation Conference conference-paper Computer Science Reinforcement Learning in Robotics
Marcel Müller, Lorena Silvana Reyes-Rubiano, Tobias Reggelin, Hartmut Zadek
2citations -
Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit2020 IEEE Access article Computer Science Parallel Computing and Optimization Techniques Open access cited by 1 patent
Jure Vreča, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, +1 more
17citations -
Multi-Objective Lookahead Bayesian Optimization for Process Parameter Optimization in Non-Isothermal Glass Molding2025 Procedia CIRP article Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Hendrik Mende, Lukas Jäschke, Gustavo Schewinski, Dennis Grunert, Robert Heinrich Schmitt
0citations -
Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization2024 Swarm and Evolutionary Computation article Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Hanjing Wang, Li Chen, Xingxing Hao, Rong Qu, Wei Min Zhou, Dekui Wang, +1 more
9citations -
Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes2024 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) conference-paper Computer Science Gaussian Processes and Bayesian Inference
Saksham Kiroriwal, Julius Pfrommer, Hendrik Mende, Robert Heinrich Schmitt, Jürgen Beyerer
1citations -
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more
1citations -
Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes2025 Applied Sciences article Computer Science Advanced Multi-Objective Optimization Algorithms Open access cited by 1 patent
Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert Heinrich Schmitt, +1 more
3citations -
Production-Ready Automated ECU Calibration Using Residual Reinforcement Learning2026 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Computer Science Reinforcement Learning in Robotics Open access
Andreas Kampmeier, Kevin Badalian, Lucas Koch, Sung-Yong Lee, Jakob Andert
0citations -
Extended Reality for Additive Manufacturing: Using Virtual Reality to Enhance Knowledge Accessibility Toward Sustainable Production2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR) conference-paper Computer Science Virtual Reality Applications and Impacts
Gustavo Melo, Kilyan Emre Talhouet, Johannes Henrich Schleifenbaum
0citations -
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-dimensional optimization2025 Nature Communications article Computer Science Computational Drug Discovery Methods Open access
David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more
7citations