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In this episode, we dive into the evolution of AI robotics, exploring how lessons from cucumber-picking robots are now revolutionizing industrial inspection. We sit down with Wouter from VBTI to unpack the journey from c...
After the cucumbers AI - a robot for industrial applications is an episode from KI in der Industrie by Robert Weber / Peter Seeberg. In this episode, we dive into the evolution of AI robotics, exploring how lessons from cucumber-picking rob...
This episode belongs to KI in der Industrie.
Use the player on this page to stream the episode online.
Published Jan 21, 2026, 43:40 long, audio available.
In this episode, we dive into the evolution of AI robotics, exploring how lessons from cucumber-picking robots are now revolutionizing industrial inspection. We sit down with Wouter from VBTI to unpack the journey from complex greenhouse challenges to the development of Adam One—an inspection robot that doesn’t just automate, but truly understands the task at hand. We reflect on the unique technical hurdles, the fusion of multiple AI models, and the potential for scalable, domain-specific foundation models. As always, we bring our authentic curiosity and skepticism to the latest industry trends, from federated learning revivals to the shifting boundaries of edge and cloud AI. Join us for a conversation that connects practical innovation with the big questions shaping industrial AI.
You can listen to After the cucumbers AI - a robot for industrial applications online on Radio and Podcast. Open the player on this page to stream the available audio.
After the cucumbers AI - a robot for industrial applications is an episode from KI in der Industrie by Robert Weber / Peter Seeberg.
This episode is 43:40 long.
This episode was published on Jan 21, 2026.
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You can listen to After the cucumbers AI - a robot for industrial applications on this page when the episode audio is available from the podcast feed.
After the cucumbers AI - a robot for industrial applications is from KI in der Industrie by Robert Weber / Peter Seeberg.
Published Jan 21, 2026 and 43:40 long