Data, Memory, Gyms and Models – what is NEURA Robotics strategy?

Portrait photo of Jonas Messner

Explore how real-world data, memory, and multi-modal AI are shaping the next wave of robotics. Dive into the future with us.

In this episode, we dig deep into the evolving landscape of industrial AI, from April Fool’s pranks to real advances in robotics and automation. We break down how the line between hype and reality is blurring, and why it’s more challenging than ever to separate fact from fiction in the age of agentic AI.

We welcome Jonas Messner from Neura Robotics to unpack how their ‚robot gym‘ is collecting real-world data, why new forms of memory and multi-modal sensing are critical, and how open platforms are redefining collaboration in physical AI. Join us as we connect industry history, current breakthroughs, and bold visions for the future—where robots learn, adapt, and even monetize their skills in dynamic environments.

Siemens

https://new.siemens.com/global/en.html

SAP

https://www.sap.com/

NVIDIA

https://www.nvidia.com/

Bosch

https://www.bosch.com/

Schaeffler

https://www.schaeffler.com/

Neura Robotics

https://www.neura-robotics.com/

Google DeepMind

https://deepmind.google/

Agile Robots

https://www.agile-robots.com/

KraussMaffei Automation (formerly T-Sync Group Automation Engineering)

https://www.kraussmaffei.com/en/automation

DLR (German Aerospace Center)

https://www.dlr.de/EN/

Modbus

https://modbus.org/

LLM Arena

https://llmarena.com/

FETH Bench

https://fethbench.com/

GiftEval

https://gifteval.com/

Anthropic

https://www.anthropic.com/

World Models (AI concept)

https://worldmodels.github.io/