Great to be part of the AI in Robotics Meetup in Amsterdam — the biggest-ever event from the AI on the Amstel community. Over 685 attendees packed into the CRCL Park Theater at AMS Institute for an evening at the intersection of AI, robotics, and real-world deployment.
The Panel
What made this event especially valuable was the mix of perspectives. The panel brought together:
- Sebas Visser — Co-Founder and CTO of Monumental, one of the top Dutch robotics startups (raised $25M in 2024)
- Daniel Gebler — CTO of Picnic, focused on robotics in warehouse operations
- Laura Ferranti — Professor at TU Delft Cognitive Robotics Department and leader of the Reliable Robot Control Lab
The discussion went beyond the usual hype cycle and focused on the practical questions that matter: where AI is already creating value in robotics, what is still technically hard, and what it will take to move from promising demos to scalable systems.
Key Takeaways
The Sim-to-Real Gap
One of the most interesting discussions centered on simulations and the “sim-to-real” gap. The panel shared different perspectives:
- Monumental’s view: AI is great at guiding robots about what, when, and how to do it. Simulators create confidence in models, but the danger is believing simulation more than warehouse reality.
- TU Delft’s view: Physics gives the backbone; AI helps fill the gaps and make training robust. The danger is that AI will exploit whatever gaps remain.
- Picnic’s view: They use software simulations for end-to-end testing. Generative AI can help by explaining failures — instead of dumps of debug data, AI can generate high-level narratives and root causes.
Infrastructure for Robotics
From a platform engineering perspective, robotics creates unique infrastructure challenges:
- Edge inference — models need to run on-device with strict latency requirements
- Simulation compute — training in virtual environments requires GPU clusters at scale
- Data pipelines — sensor data from physical robots needs to flow back for model improvement
- Observability — monitoring physical systems is fundamentally different from monitoring software
Dutch Robotics Startups
Also great to see Dutch robotics startups showcasing their work live on the exhibition floor. Autonomous mobile robots, articulated arms manipulating objects, and LED-lit autonomous vehicles — seeing these systems operate in person made the opportunity feel much more tangible than any slide deck could.
Amsterdam’s Position in Embodied AI
The Netherlands is building a strong position in embodied AI. With TU Delft’s research excellence, startups like Monumental scaling production robotics, Picnic automating warehouse logistics, and companies like Manus translating human motion into machine skill, the ecosystem has depth.
As the Prosus State of AI report highlighted, world models and physical AI represent a frontier where no one has established dominance yet. Europe — and the Netherlands specifically — is well-positioned if it concentrates investment in its strongest hubs.
Thanks to AI on the Amstel, AMS Institute, and Grant Easterbrook for organizing such a strong event.
For more on AI infrastructure and robotics, connect with me on LinkedIn or follow @TheLucaBerton.
