Humanoid robots are showing meaningful progress beyond controlled demonstrations, with advances in autonomy, dexterity, and the ability to perform repetitive real-world tasks. But widespread commercial deployment still remains a work in progress.
After spending a week meeting with leading robotics labs, engineers and investors across the San Francisco Bay Area, researchers found that most humanoid robots remain in development, training, and tele-operated demonstrations. Where real-world deployments exist, they are generally closer to pilots than clear return-on-investment opportunities, according to a report published Wednesday by Citrini Research.
The Robotics Test
The report examined whether robotics is approaching its own "ChatGPT moment," a point at which the technology becomes broadly recognized as useful and disruptive. It highlighted recent advances from GeneralistAI and Skild AI, along with Figure AI’s demonstration involving 250,000 packages, as examples of progress across learning, dexterous manipulation, locomotion and real-world automation.
Rather than one defining breakthrough, the report suggested robotics may advance through a "mosaic of signals," with improvements in hardware, training and autonomy gradually pushing the technology toward broader commercial use.
The report said basic humanoid locomotion is effectively a solved problem, while complex dexterity remains more difficult. Simple repetitive tasks are already trainable, creating opportunities for near-term automation as robotic models continue to improve.
Building The Ecosystem
The progress is also being matched by investment in the broader robotics infrastructure. Tesla Inc (NASDAQ:TSLA) has been preparing production lines for Optimus, while XPeng Inc (NYSE:XPEV) has launched an automated production line for its IRON humanoid robot.
Meanwhile, NVIDIA Corp (NASDAQ:NVDA) is supporting the computing side of physical AI. Figure AI is securing access to up to 100,000 Vera Rubin GPUs to train the models powering its humanoid robots.
The report concluded that robotic autonomy is developing along a curve rather than arriving through one decisive breakthrough, with “broad generalizability” remaining the longer-term goal.
Disclaimer: This content was produced with the help of AI tools and was reviewed and published by Benzinga editors.
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