Industrial AI and Motion Control - how do we reduce engineering time?

Several conveyor belts transport chocolate bars: They are part of the demonstrator machine that shows how Artificial Intelligence can be used for motion control. What remains to be done in a real factory is to pack the chocolate bars – automated, of course. In this Intelligent Infeed Demonstrator machine from Siemens Digital Industries, the chocolate bars must be placed in evenly spaced slots on the outfeed belt. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. We thank our new partner [Hannover Messe] (https://www.hannovermesse.de/en/) Our guests: https://www.linkedin.com/in/dr-michel-tokic-a35081105/ and https://www.linkedin.com/in/martin-bischoff-68b432193/

Om Podcasten

The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.