NEURA Robotics shows 4NE1 Wheels running a laundry cycle live at GTC Berlin
SUMMARY
NEURA Robotics says its humanoid 4NE1 Wheels completed a full laundry cycle autonomously, repeatedly, throughout NVIDIA GTC Berlin 2026, held from October 20 to 22 at Station-Berlin. The demonstration ran at Booth 3031 in Hall 3 and was also shown online. The company describes it as an unedited run, in contrast to the cut and sped-up videos common in robotics.
According to NEURA, the robot sorted light and dark garments, loaded a washing machine and closed its door, then unloaded the washed garments, moved them to a dryer and closed that door. The sequence took around eleven minutes without human intervention. The company shortened the wash and dry cycles of the BSH appliances to about ten seconds, and says all other conditions were real. For this first public run NEURA put reliability and safety around visitors ahead of speed, and says speed will be tuned in later model updates.
The robot ran on Neuron AI, the multimodal foundation model NEURA introduced on October 14. NEURA says its Perception-Language-Action architecture combines 3D vision, touch, force, audio, language and the robot's own state with memory. At the booth, a chest camera mapped the workspace and cameras in the hands guided grasps. Tactile sensing took over inside the washing drum, where sight is blocked, and sound helped confirm events such as a door latching. NEURA says the model learns which sense to rely on at each stage.
A Thursday keynote by NEURA ended with 4NE1 Gen 4, which the company launched the same day at the opening of the TUM RoboGym in Munich. The robot walked from the keynote stage to the booth. NEURA says it is designed for series production, is 20 percent lighter than its predecessor, has a slimmer body with a textile outer skin and runs on Neuron AI.
Drafted with AI assistance from the source and reviewed by WBH. Follow the source link for the full text.
WHY IT MATTERS
EDITORIALThe page describes a long, multi-step manipulation task run end to end without human intervention, with stated simplifications (shortened appliance cycles) and a stated priority on reliability over speed. It also names the sensing modalities, vision, touch and sound, that the robot relied on at different stages.