← Humanoid Robotics

Who Has Actually Built How Many Humanoids

Updated: September 29, 2026 (7531-10-09 in the Bulgarian calendar)

The twelve companies in this section are usually ranked by valuation, which measures what investors expect. This page ranks them by what exists. The two orders are almost the reverse of each other, and that inversion is the most useful thing to understand about the field right now.

Humanoids actually built

Cumulative bipedal humanoids produced, on the August 2026 tally, plus Figure's own delivery figure. Hover any bar for what the number counts.

China US / Europe
18,000
Unitree — 18,000
cumulative bipedal humanoids, August 2026 tally
7,000
AgiBot — 7,000
cumulative bipedal humanoids, August 2026 tally (≈15,000 robots of all form factors)
3,000
UBTECH — 3,000
cumulative bipedal humanoids, August 2026 tally
1,000
Galbot — 1,000
cumulative bipedal humanoids, August 2026 tally; shipping units are wheeled
350
Figure AI — 350
Figure 03 units delivered, April 2026
04,5009,00013,50018,000

Four of the five are Chinese, and the top four are only Chinese. Unitree alone has built roughly fifty times what Figure has delivered. That is not a statement about capability — a Unitree R1 sold to a university laboratory is not doing a shift at BMW — but it is a statement about manufacturing, and manufacturing is what drives component prices down for everybody.

Announced, not yet shipping

1X, XPeng, NEURA, Tesla have delivered nothing to date. Their zeros are real zeros, and they are kept off the chart above rather than drawn as invisible bars.

No published figure

Agility, Boston Dynamics, Apptronik do not publish a unit count. That is not the same as zero, and nothing here estimates on their behalf — Agility in particular has 65,000 logged operating hours across named customers, which on any measure of useful work outranks most of the bars above.

Annual capacity announced

A different question, deliberately on its own chart rather than a second axis: how many robots a year each company says it will be able to build.

1,000,000
Tesla — 1,000,000 a year
Fremont lines stated as designed for 1,000,000 robots a year; Giga Texas for 10,000,000 from 2027
30,000
Boston Dynamics — 30,000 a year
Hyundai intends 25,000 Atlas units; a US plant sized for 30,000 robots a year
12,000
Figure AI — 12,000 a year
BotQ factory aimed at 12,000 humanoids a year; leasing floated at ~$600/month
12,000
XPeng — 12,000 a year
Mass production by end 2026, deliveries in China and abroad from 2027
10,000
UBTECH — 10,000 a year
Liuzhou plant rated at 10,000 robots a year, live since September 2026
10,000
1X — 10,000 a year
First year of production sold out; $20,000 or $499/month
0250,000500,000750,0001,000,000

Tesla's bar is not a rendering error. Its stated Fremont capacity is 33× the next largest claim on this chart, and it has delivered nothing.

Put the two charts side by side and the field divides cleanly. The companies with the largest announced capacity have built the least; the company that has built the most announces no capacity figure at all. Unitree, at the top of the first chart, does not appear on the second.

Where each one is aimed

Unit counts flatten a real difference: these robots are not competing for the same work. Sorted by units built, with unpublished figures last.

Company Built Aimed at What is actually deployed Stated plan
Unitree 18,000 Research, developers, education, entertainment 5,500 humanoids sold in 2025; profitable on 60% gross margin No announced capacity figure; average price already down to ~$25,000
AgiBot 7,000 Labs, developers, exhibitions, light industry 8,400 humanoids shipped in H1 2026 — about 44% of the global total Hong Kong IPO in progress; ~4bn yuan of revenue expected this year
UBTECH 3,000 Automotive plants, smart factories, logistics 1,079 full-size humanoids delivered in 2025 for RMB 820.6m — the only audited humanoid revenue anywhere. NIO, BYD, Foxconn, Audi-FAW, Zeekr Liuzhou plant rated at 10,000 robots a year, live since September 2026
Galbot 1,000 Retail and pharmacy — serving the public directly 170+ unstaffed Galbot Stores across 40+ cities; first robot pharmacy licence in China Hong Kong listing prepared; ET1 biped pre-orders opened September 2026
Figure AI 350 Automotive logistics, and eventually the home BMW Spartanburg — a Figure 02 supported 30,000+ X3 vehicles over ten months BotQ factory aimed at 12,000 humanoids a year; leasing floated at ~$600/month
1X none yet The home — the only consumer product here Nothing delivered yet. 10,000+ pre-orders sold out in five days First year of production sold out; $20,000 or $499/month
XPeng none yet Own retail stores first, then general commercial Nothing yet. Production line running since September 2026 at 80%+ automation Mass production by end 2026, deliveries in China and abroad from 2027
NEURA none yet Industrial, plus domestic service via MiPA Nothing yet for 4NE-1. Its cobot range is already in service ~€1bn order book; Reger has stated five million robots by 2030
Tesla none yet Its own factories first Nothing outside Tesla's own facilities, and no customer Fremont lines stated as designed for 1,000,000 robots a year; Giga Texas for 10,000,000 from 2027
Agility not published Warehouse and logistics 65,000+ operating hours across nine customer sites — Schaeffler, GXO, Toyota, Mercado Libre. $300m+ of orders Public listing via SPAC at ~$2.5bn; Digit 5 unveiled September 2026
Boston Dynamics not published Automotive manufacturing 2026 output committed to two customers: Hyundai's Metaplant centre and Google DeepMind Hyundai intends 25,000 Atlas units; a US plant sized for 30,000 robots a year
Apptronik not published Manufacturing and logistics Pilots at Mercedes-Benz (Berlin and Kecskemét), GXO and Jabil Apollo 3 in 2027 described as its first true commercial product

What the numbers do not say

Three cautions, because a ranking invites the wrong conclusion:

Every figure is drawn from the twelve company profiles in this section, each of which cites its sources. Where a company publishes nothing, this page says so rather than estimating.