11: Industrie 4.0, Vorlesung, WS 2018/19, 11.01.2019

Autor

Torsten Kröger

Herausgeber

KIT | Webcast

Beteiligtes Institut

Institut für Anthropomatik und Robotik (IAR)

Genre

Vorlesung

Beschreibung

11 |
0:00:00 Start
0:00:30 Syllabus – Winter Term 2018/19
0:03:02 Safety
0:05:24 Benefits
0:07:35 COntinuous Integration
0:08:22 Continuous Integration Workflow
0:11:52 CI in the clouds
0:14:21 QNX Momentics Tool Suite – CI for RT-systems
0:16:04 QNX Momentics
0:22:12 Industry 4.0: Data Analytics and ML Use Cases
0:41:50 Recap: Reinforcement Learning
0:47:25 Speed Optimization
0:58:00 Production Line: Throughput Optimization
1:03:48 Production Line: Scheduling/Workflow Optimization
1:04:45 Production Line: Energy Optimization
1:05:37 Robot Skill Learning
1:09:48 Robot Path Planning
1:12:29 Business: Optimization Demand Forecast
1:13:14 Industry 4.0: Data Analytics and ML Use Cases
1:19:48 Motivation: Predictive Maintenance
1:22:46 Machine Learning Algorithms for Predictive Maintenance

Laufzeit (hh:mm:ss)

01:23:52

Serie

Industrie 4.0, Vorlesung, WS 2018/19

Publiziert am

14.01.2019

Fachgebiet

Informatik

Lizenz

KITopen-Lizenz