NVIDIA GTC Berlin 2026 Recap: Robot Autonomy Demonstrated Live
NVIDIA GTC Berlin 2026 Recap: Robot Autonomy Demonstrated Live
At NVIDIA GTC Berlin 2026, NEURA Robotics demonstrated the autonomy of their humanoid robot 4NE1 Wheels, completing a full laundry cycle without human intervention. The task involved sorting, washing, transferring, and drying garments, using real-world conditions and their multimodal foundation model Neuron AI. The demo emphasized reliability and safety over speed, with plans to refine performance in future updates.
The demonstration highlights NEURA Robotics' progress in autonomous humanoid robots, showcasing a laundry cycle completed without human intervention using their multimodal foundation model Neuron AI. The focus on real-world conditions and safety during the public demo underscores the company's approach to practical deployment.
Source: NEURA Robotics — News · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Control
- Reported autonomousOpen source S2
Reported numbers
laundry cycle duration
≈10 seconds
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osed the dryer door. This video is hidden because marketing cookies are declined. Update your cookie settings to watch it The full sequence took around eleven minutes and ran without human intervention. To keep it watchable, the wash and dry cycles of the BSH appliances were shortened to about ten seconds. All other conditions were real life conditions for the robot, acting autonomously through our multimodal foundat
Open source S4robot autonomy
1
View original evidence
ion model. On Wednesday, the demo was also streamed live on YouTube and LinkedIn . The team made one deliberate trade-off. For this first public run, reliability and safety around visitors came before speed. The goal was to finish every cycle end to end. Speed will be tuned in later model updates. Why a laundry cycle is hard for a robot: memory and senses beyond vision The difficult moment comes when the machine door
Open source S5
- paper: not_reported
- code: not_reported
- weights: not_reported
- dataset: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
Most robot videos are edited. A cut hides the failed grasp, a speed-up hides the hesitation, and the best take makes it online. At NVIDIA GTC Berlin 2026, held from October 20 to 22 at Station-Berlin, we did the opposite. At Booth 3031 in Hall 3, live in the event and online, our humanoid robot 4NE1 Wheels autonomously completed a full laundry cycle, again and again, continuously throughout the show. The live demo: a
Open source S2
guage and the robot’s own state together with memory, and turns them into one stream of action. At the booth, that meant: Vision at two scales. A chest camera mapped the workspace, while cameras in the hands guided each grasp. Touch where cameras fail. Inside the drum, sight is blocked, so tactile sensing takes over. Sound as confirmation. A door latching or a connector snapping into place can be heard before it can
Open source S7
osed the dryer door. This video is hidden because marketing cookies are declined. Update your cookie settings to watch it The full sequence took around eleven minutes and ran without human intervention. To keep it watchable, the wash and dry cycles of the BSH appliances were shortened to about ten seconds. All other conditions were real life conditions for the robot, acting autonomously through our multimodal foundat
Open source S4
ion model. On Wednesday, the demo was also streamed live on YouTube and LinkedIn . The team made one deliberate trade-off. For this first public run, reliability and safety around visitors came before speed. The goal was to finish every cycle end to end. Speed will be tuned in later model updates. Why a laundry cycle is hard for a robot: memory and senses beyond vision The difficult moment comes when the machine door
Open source S5
Source：NEURA Robotics — News · neura-robotics.com