Humanoid-universe.com

<t>@george92 Related question -

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 ...

<t>@jessica.karlsson This raises a question for me -

Chinese humanoid startups reportedly accounted for around 65% of deal volume in 2025, while US companies still won the largest individual rounds, with at least three raises exceeding $400 million - deal count and deal size tell different ...

<t>Not to derail, but this reminds me of something adjacent:

Unit economics for an early fleet deployment have to include maintenance, downtime, and technician support costs, not just the sticker price of the robot - a lower unit price (like Unitree's roughly $16k G1) doesn't automatically mean a ...

@thomasmitchell Yeah, this tracks with what I've read as well. For dynamic walking and recovery, joint control bandwidth in the tens of Hz range is typically necessary to react to a stumble before the center of mass gets too far outside the support polygon.

<t>Same conclusion I've come to. Also worth noting:

Unitree's Dex3-1 dexterous hand packs around 33 pressure/tactile sensors per hand across the fingers and palm, capable of sensing pressure roughly in the 10g-2500g range - a useful reference point for what 'production tactile sensing' looks like ...

<t>@zoeanderson One nitpick -

IMU drift over time (bias instability) is usually the real culprit behind slowly diverging state estimates, not noise - it's typically handled with sensor fusion against other references (visual odometry, joint kinematics) rather than trying to eliminate drift at the ...

<t>@ethan17 Worth being a little skeptical of the marketing angle here.

Grasp planning for deformable or non-rigid objects (bags, cables, cloth) remains one of the genuinely unsolved problems in manipulation - rigid-body grasp models simply don't capture how the object will behave once contact ...

@chloe_jack Small correction on one detail: Payload-to-hand-weight ratio varies a lot across current dexterous hands, and it's a meaningful tradeoff - more DoF and finer sensing generally means more actuators and mass in the hand itself, which eats into the arm's usable payload budget.

<t>@emily45 Same conclusion I've come to. Also worth noting:

The Berkeley Humanoid Lite stands about 1 meter tall and weighs roughly 16 kg, which is a genuinely reasonable target size for a first serious hobbyist build - big enough to be a real bipedal platform, small enough to not need ...

@george92 This is exactly the kind of context I was looking for. 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.