Bridging Physical AI & Industrial Robotics: From NVIDIA, Google and other leaders to FANUC Execution

​Real-World Physical AI: ROS 2, Isaac Sim, and Advanced Motion Control with FANUC

​About the Event As Physical AI rapidly evolves, bridging the gap between advanced AI models, simulation environments, and heavy-duty industrial execution is the ultimate engineering challenge.

​In this exclusive technical session, hosted in collaboration with FANUC, we dive deep into how modern software frameworks and AI tools interface directly with industrial-grade robotics.

​What We Will Cover:

• ​Simulation to Reality (Sim2Real): Integrating NVIDIA Isaac Sim with FANUC ROBOGUIDE for accurate environment modeling and synthetic data generation.

• ​ROS 2 & Python Interfacing: Leveraging ROS 2 nodes, MoveIt2, and custom Python pipelines to control FANUC hardware in real time.

• ​Dynamic Motion Control: Case study on streaming motion, low-latency trajectory control, and real-time path generation.

• ​The Physical AI Toolkit: Practical workflows using Hugging Face models, vision-language-action (VLA) pipelines, and sensor integration on the shop floor.

​Who Should Attend? Robotics Engineers, AI Researchers, CTOs, Automation System Integrators, and Founders building the next generation of Physical AI applications.

​I agree to receive future industry updates, event invites, and insights on Physical AI.