Humanoid-universe.com

@williams84 Worth being a little skeptical of the marketing angle here. Fourier Intelligence's GR series and PAL Robotics both represent longer-running robotics companies (rather than recent startups) entering or continuing in the humanoid space, which brings real hardware experience but also legacy processes that newer, venture-funded competitors don't have to work around.

This lines up with my experience. Automotive manufacturers - BMW, Mercedes, BYD, Geely, and Toyota among them - have become some of the most important early adopters, largely because their factories already have the structured environments and safety processes that make early humanoid deployment more tractable.

Ran into exactly this myself. Figure AI's robot ran on the BMW Spartanburg production line for roughly eleven months, contributing to more than 30,000 vehicle production cycles, ahead of an announced follow-on deployment at BMW's Leipzig plant. Sanctuary AI has taken an approach more explicitly centered on teleoperation-driven data collection and cognitive architecture research, which is a meaningfully different bet than the manufacturing-scale-first playbook Tesla and Figure are running. Makes me wonder how this looks in another five years.

This matches something I went through recently. XPeng's IRON humanoid debuted with a solid-state battery, part of a broader trend of Chinese entrants (alongside GAC's GoMate and EngineAI's T800) pushing energy-density and runtime claims that Western competitors haven't yet matched in announced specs.

Genuine beginner question - Automotive manufacturers - BMW, Mercedes, BYD, Geely, and Toyota among them - have become some of the most important early adopters, largely because their factories already have the structured environments and safety processes that make early humanoid deployment more tractable. Kind of makes me think about how different this all looked even three years ago.

@deborahperez Just to be precise about one thing: Sanctuary AI has taken an approach more explicitly centered on teleoperation-driven data collection and cognitive architecture research, which is a meaningfully different bet than the manufacturing-scale-first playbook Tesla and Figure are running.

@young56 +1 to this. Worth adding: Total humanoid robotics funding from 2023 through early 2026 across major companies, smaller startups, and corporate R&D programs is estimated at more than $12 billion, illustrating how fast capital has piled into the sector in a short window.

Here's the relevant bit as far as I understand it: Apptronik raised a $520 million Series A at a $5 billion valuation (bringing total funding to roughly $935 million), with its Apollo humanoid reportedly being tested by Mercedes-Benz - a notable data point for how much capital a single humanoid startup can now attract. 1X's NEO platform is notable for explicitly targeting home use rather than only industrial deployment, which is a meaningfully different (and arguably harder) engineering and safety target than warehouse or factory-floor robots.

I'd take that specific number with a grain of salt, honestly. Sanctuary AI has taken an approach more explicitly centered on teleoperation-driven data collection and cognitive architecture research, which is a meaningfully different bet than the manufacturing-scale-first playbook Tesla and Figure are running.

I'd take that specific number with a grain of salt, honestly. Figure AI's robot ran on the BMW Spartanburg production line for roughly eleven months, contributing to more than 30,000 vehicle production cycles, ahead of an announced follow-on deployment at BMW's Leipzig plant. Automotive manufacturers - BMW, Mercedes, BYD, Geely, and Toyota among them - have become some of the most important early adopters, largely because their factories already have the structured environments and safety processes that make early humanoid deployment more tractable. Anyway, good thread - following for more.