How does a humanoid know it's done? A robot can see a screw being turned, but that doesn’t tell it whether the threads have caught...a click can tell it a latch has locked. Force feedback can reveal what a camera misses. Germany’s NEURA Robotics has introduced Neuron AI-- a Perception-Language-Action (PLA) model combining 3D vision, touch, force feedback, audio, robot state, and language, with memory to track objects and task progress. Together, these capabilities form the basis of a general-purpose Physical AI brain built around multimodal perception + memory + deployable skills, helping robots sense, adapt, and work through tasks more like humans do. NEURA says the model will work across five of its robot platforms. Customers can fine-tune skills through Neuraverse and deploy them across a fleet. The company calls its learning-speed metric Time-to-Skill. At NVIDIA GTC Berlin (Oct 20–22), NEURA plans to demo its 4NE1 humanoid autonomously completing an 11-minute laundry task, from sorting clothes to loading and unloading the washing machine and moving the laundry. Looking forward to it...