Lecture

Supervision & Control in Industrial Automation

Related lectures (40)
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Vision-Language-Action Models: Training and Applications
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
PLC Programming: Basics and Languages
Introduces PLC programming basics, covering languages like Ladder Diagram, Instruction List, Structured Text, and Sequential Function Chart.
Industrial Automation: Overview and Control Systems
Covers industrial automation hierarchy, control systems, and plant categories, emphasizing the importance and applications of automation in various industries.
Engineering Challenges: Distributed Systems and Energy Harvesting
Discusses engineering challenges in distributed systems, energy harvesting, and system building, emphasizing the importance of core disciplinary knowledge and new research themes.
Cognitive Reflection Test: Lazy Controller and Learning Types
Delves into the Cognitive Reflection Test, controlled vs. automated processes, and non-intentional learning types.
Driver Behaviour Modelling with Intelligent Vehicle Systems
Examines the impact of control transitions and automation on driver behavior and traffic safety.
Real-Time Distributed Algorithms
Explores real-time distributed algorithms, covering industrial applications, system models, communication protocols, and failure detection.
MusicBond: Music Recommendations and Sharing Platform
Introduces MusicBond, a platform for sharing music recommendations among relatives.
Cell Culture: Handling Cells in P1
Covers the basics of cell culture in P1, including safety procedures and cell counting protocols.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.