August 16, 2019 article A Machine Learning Framework for Real-Time Identification of Successful Snap-Fit Assemblies IEEE Transactions on Automation Science and Engineering DOI: 10.1109/tase.2019.2932834 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 42 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Leveraging reinforcement and curriculum learning for flexible robot-based snap-fit assembly automation 2025 at - Automatisierungstechnik article Engineering Robot Manipulation and Learning 0 citations Machine learning based defect detection in a low automated assembly environment 2021 Procedia CIRP article Engineering Industrial Vision Systems and Defect Detection Open access 6 citations 2 results References 0