
Sign up to save your podcasts
Or


In this episode, we dive into the realities behind industrial AI adoption—both the successes and the setbacks. We share candid conversations with engineers frustrated by unreliable AI and explore why real-world robustness remains the central challenge. Then, I sit down with Andy from Path Robotics, who reveals how their AI-driven welding robots are redefining adaptability and reliability on the shop floor. We unpack what makes their approach unique, from multi-modal sensors to reinforcement learning and massive real-world datasets. If you care about the future of manufacturing, data-driven automation, and the evolution of industrial roles, you won’t want to miss this discussion. Join us as we look ahead to what’s possible when AI finally delivers on its industrial promise.
https://new.siemens.com/global/en.html
https://www.path-robotics.com/
https://www.path-robotics.com/technology/
https://www.yaskawa.com/
https://www.universal-robots.com/
https://global.abb/group/en
https://www.kuka.com/
https://www.fanuc.eu/
https://en.wikipedia.org/wiki/Reinforcement_learning
https://worldmodels.github.io/
https://www.industrial-ai-podcast.com/
https://machinelearningweek.eu/
https://www.faz.net/
http://www.incompleteideas.net/IncIdeas/BitterLesson.html
https://arxiv.org/abs/2404.07143
https://embraceable.ai/
https://www2.deloitte.com/global/en/pages/about-deloitte/articles/agentic-ai.html
https://en.wikipedia.org/wiki/Sally(shortstory)
By Robert Weber / Peter Seeberg5
44 ratings
In this episode, we dive into the realities behind industrial AI adoption—both the successes and the setbacks. We share candid conversations with engineers frustrated by unreliable AI and explore why real-world robustness remains the central challenge. Then, I sit down with Andy from Path Robotics, who reveals how their AI-driven welding robots are redefining adaptability and reliability on the shop floor. We unpack what makes their approach unique, from multi-modal sensors to reinforcement learning and massive real-world datasets. If you care about the future of manufacturing, data-driven automation, and the evolution of industrial roles, you won’t want to miss this discussion. Join us as we look ahead to what’s possible when AI finally delivers on its industrial promise.
https://new.siemens.com/global/en.html
https://www.path-robotics.com/
https://www.path-robotics.com/technology/
https://www.yaskawa.com/
https://www.universal-robots.com/
https://global.abb/group/en
https://www.kuka.com/
https://www.fanuc.eu/
https://en.wikipedia.org/wiki/Reinforcement_learning
https://worldmodels.github.io/
https://www.industrial-ai-podcast.com/
https://machinelearningweek.eu/
https://www.faz.net/
http://www.incompleteideas.net/IncIdeas/BitterLesson.html
https://arxiv.org/abs/2404.07143
https://embraceable.ai/
https://www2.deloitte.com/global/en/pages/about-deloitte/articles/agentic-ai.html
https://en.wikipedia.org/wiki/Sally(shortstory)

37 Listeners

226 Listeners

2 Listeners

50 Listeners

11 Listeners

21 Listeners

9 Listeners

34 Listeners

0 Listeners

21 Listeners

25 Listeners

13 Listeners

3 Listeners

2 Listeners

0 Listeners

33 Listeners

2 Listeners