Humanoid robotics challenges go beyond movement and servo motors.


The hardest problems are often AI problems. Bringing intelligence into the physical world means dealing with gravity, friction, uncertainty, and real consequences. Mistakes can break hardware.


This week on Neuron Live, we’re joined by Nikita Rudin, Co-founder and CEO of Flexion Robotics, to unpack what it actually takes to build intelligence for humanoid systems.


What we’ll cover:

🤖 Training control policies and perception models

🧪 Bridging simulation and the real world (sim-to-real)

🛠️ Robotics training pipelines and the embodied AI stack

🔮 Where humanoid and physical AI is headed next


If large language models are the brain in the cloud, what does intelligence look like when it has to walk, grasp, and not fall over?


Expect a deep dive into embodied AI, physical AI, and the systems powering the next generation of humanoid robots.

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