Which company's teleoperation reliance seems highest based on what's public?

[green28]

Been thinking about this a lot lately. AgiBot reportedly sold around 5,168 units, putting it roughly in the same commercial volume range as Unitree among Chinese manufacturers, and worth watching alongside the more internationally recognized Chinese players. Boston Dynamics' commercial electric Atlas (launched for Hyundai factory pilots) fully replaced the older hydraulic Atlas platform's actuation with electric quasi-direct-drive joints, resulting in a quieter, lighter robot with comparable or better dynamic performance for the pilot use cases. Genuinely not sure where I land on this, so discuss.

[carol.robinson]

@green28 +1 to this. Worth adding: Unitree's G1 humanoid starts at roughly $16,000, a price point well below full-size US-built humanoid platforms, and the company reportedly sold around 5,500 units - a meaningful data point in how aggressively Chinese manufacturers are pushing the price floor down.

[byang]

Agreed, and I'd add: Agility Robotics' Digit is operating in Amazon fulfillment centers and GXO warehouses moving totes, backed by a factory with roughly 10,000 units of annual production capacity - one of the more mature commercial-scale logistics deployments as of 2026. 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.

[joseph_sing]

+1 to this. Worth adding: Tesla reportedly deployed more than 1,000 Optimus Gen 3 units into its own Fremont, Austin, and Berlin factories starting around January 2026, with a stated capacity target near 100,000 units for the year - it's worth noting these are internal factory deployments, not confirmed third-party commercial sales.

[betty.king]

Sorry if this is a basic question, but 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.

[barbara.jones]

Follow-up question though - 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.

[choi98]

I'd take that specific number with a grain of salt, honestly. 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. 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.

[ananya.novak]

Ran into exactly this myself. 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.

[mary.taylor6]

This is a great summary, thanks. 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.

[byang]

@mary.taylor6 Worth being a little skeptical of the marketing angle here. Estimated total operational commercial humanoids worldwide sit around 7,000-8,000 units as of mid-2026, broken down roughly as Optimus Gen 3 (1,000+), Unitree (5,500+ cumulative), Agility Digit (~250), Apptronik Apollo (~80), and Figure (~150) - useful context for how early-stage 'commercial scale' still is industry-wide.