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Last update: Mgr. Kateřina Mikšová (10.05.2023)
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Last update: Mgr. Kateřina Mikšová (10.05.2023)
Creating a program to automate a given experimental problem. |
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Last update: RNDr. Petr Čermák, Ph.D. (10.05.2023)
G.R. Bradski, A. Kaehler: Learning OpenCV, O'Reilly 2008 All resources at the web autonomous-discovery.lbl.gov C.E. Rasmussen, K.I. Williams, Gaussian Processes for Machine Learning, MIT Press, 2006. K.G. Reyes and B. Maruyama, MRS Bull. 44, 530 (2019) |
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Last update: RNDr. Petr Čermák, Ph.D. (10.05.2023)
1. Instrument architecture and PLC programming
2. Communication with 6-axis robotic arm 3. Computer Vision
4. Machine learning basics 5. Artificial intelligence and expert systems 6. Automatic planning of experiments 7. Bayesian optimization of measurements 8. AI driven data analysis 9. Publishing the data
10. Future trends in automation
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