Robots · Humanoids

Figure 03 teleoperation: how Helix was trained and why operator data still matters

Figure publishes more about its training data than most humanoid makers. The record shows a company moving from teleoperation toward human video and paid human data, without ever leaving people out of the loop.

Figure 03, General-purpose humanoid (commercial deployments only)
AI-generated illustration of the Figure 03. For product photos, see Figure AI.
Height
5 ft 8 in
Weight
61 kg
Payload
20 kg
Run time
5 h
Walking speed
1.2 m/s
Hands
Palm camera in each hand; fingertip sensors detect about 3 g
Charging
2 kW wireless, through coils in the feet
Data offload
10 Gbps mmWave

Updated

Figure 03 is the third-generation humanoid from Figure AI, launched on October 9, 2025 and pitched for both commercial work and the home. You cannot buy one. What you can do is read what Figure has published about how its robots learn, which is unusually specific: hours of teleoperation, the architecture of its Helix models, and a paid network for collecting human data. For anyone building their own humanoid data program, that record answers a practical question: how much human operation does a well-funded humanoid company still need?

Can you buy a Figure 03?

No. The Figure 03 product page lists specs and a contact form, but no price, order button or delivery date as of October 2026. Figure deploys robots through its own commercial agreements. According to the Figure AI entry on Wikipedia, CEO Brett Adcock said in May 2026 that Figure would soon lease robots for home use at about $600 a month, and more than 350 Figure 03 units had been delivered by April 2026. Neither is an offer you can take up today: there is no lease sign-up on Figure's site. If you need a humanoid with operators on it this quarter, see the alternatives near the end of this page.

How Helix was trained: 500 hours of teleoperation

When Figure introduced Helix in February 2025, it described the training set plainly: "a high quality, multi-robot, multi-operator dataset of diverse teleoperated behaviors, ~500 hours in total". Figure noted that this is a small fraction of the data behind earlier vision-language-action models. Three details from that post matter to anyone collecting humanoid data:

Many operators, on purpose

Figure chose a multi-operator dataset. Different people bring different strategies, which helps a policy generalize, as long as each person is consistent within a task. Uncontrolled variation is noise; controlled variation is coverage.

Labels written after the fact

Figure segmented onboard camera video into clips and had a vision-language model write the instruction for each, using the prompt "What instruction would you have given the robot to get the action seen in this video?" The operator drives; the language label comes later. That only works if each clip is a clean, single-intent episode.

A fast controller under a slow planner

Helix splits into System 2, a 7B-parameter vision-language model running at 7 to 9 Hz, and System 1, an 80M-parameter transformer running at 200 Hz that controls a 35-DoF action space covering fingers, wrists, torso and head. Both run on the robot's embedded GPUs. Teleop data has to be recorded at a rate and resolution that can supervise that fast layer.

Helix 02, Project Go-Big and Figure Index

Figure's later work broadened where the human data comes from, rather than removing it.

Helix 02 (January 2026)

Helix 02 extended control to the whole body with a new System 0, a 10M-parameter whole-body controller running at 1 kHz, trained on "over 1,000 hours of joint-level retargeted human motion data" plus reinforcement learning across more than 200,000 simulated environments. Figure says it replaced 109,504 lines of hand-written C++. The post states: "All videos shown below are fully autonomous, not teleoperated."

Project Go-Big (September 2025)

Figure began recording people doing tasks in real homes, starting in residential units owned by Brookfield, to build a humanoid pretraining set from first-person human video. Humanoids Daily reported Figure's claim that Helix learned to navigate homes from human video alone, which Figure presented as a company result, not an independent one.

Figure Index (2026)

The Index app describes "a network of creators building the largest humanoid dataset ever assembled", where contributors "get paid by the minute while you do your tasks" with a recording device. The page reports $35M paid to contributors, 28.5M video uploads and 111 countries.

Read in order, Figure's data story goes: teleoperated robot episodes, then retargeted human motion, then first-person human video, then a paid global network of people recording their day. Each step makes data cheaper per hour. None removes the human. They change where the human sits, from inside the robot to in front of a camera.

Is Figure 03 teleoperated?

The honest answer has two parts. Figure says its Helix 02 showcase videos are fully autonomous, and it labels them that way, which is more than most makers do. At the same time, Figure's own training record and hiring show teleoperation is part of how the robots learn and are run. A Figure job listing for a humanoid robot operator in San Jose, at $25 to $35 an hour and removed in January 2026, said the operator "may wear teleoperation equipment and guide the robot through designated behaviors", uploads collected data to the AI training system, and keeps the robot running for the customer use case all day. That is a human-in-the-loop role: part data collector, part on-site fallback.

Teleoperation in training and autonomy in a labeled demo are not in conflict. Most humanoid programs use operator episodes to teach a behavior, then show the policy running it. Our guide to human-in-the-loop humanoid robots explains how takeovers become correction data once a policy is deployed.

Fast policies, slow networks: where teleop fits the control loop

Figure's published rates show why humanoid teleoperation is layered. Helix 02's System 0 runs at 1 kHz and System 1 at 200 Hz; no human, local or remote, closes a loop that fast. What an operator supplies is the slower layer: where to walk, what to reach for, how to shape the grasp. The robot's own controllers turn that into balanced joint commands. That split is also what makes remote operation possible at all, because a learned balance and tracking layer on the robot absorbs network delay that would otherwise make a 61 kg biped unsafe to drive.

In practice that gives three regimes on any modern humanoid. With an operator on site or in the same metro, round trips are short enough for direct upper-body teleop of fine tasks. Across a region, coarse manipulation and walking commands stay comfortable while precise contact slows down. At intercontinental distances, the operator supervises a running policy and takes over only when it stalls. Our latency guide sets out the budgets by task, and they apply to Figure-class robots as much as to research platforms.

Hardware built for data collection

Figure 03's launch post reads like a list of data-pipeline requirements turned into hardware:

Cameras

Twice the frame rate, one quarter the latency and a 60 percent wider field of view per camera than Figure 02, plus a camera in each palm. Lower camera latency helps an operator as much as a policy, and palm cameras see grasps the head cannot.

Touch

Fingertip sensors that detect forces as small as three grams, the kind of signal a video-only dataset never contains.

Offload

10 Gbps mmWave links so a fleet can upload terabytes of data during shift breaks or at the dock.

Uptime

Wireless charging at 2 kW through coils in the feet, so the robot can top up by stepping onto a stand. Robots that charge themselves can collect on more shifts.

Figure 03 vs Figure 02

Figure 02, introduced in August 2024, had five-fingered hands with 16 degrees of freedom, six RGB cameras and a 25 kg carry rating, per Wikipedia. Figure 03 has 9 percent less mass than Figure 02, actuators Figure describes as twice as fast, the new camera system and the tactile, camera-equipped hands. Figure announced its BMW partnership, to deploy humanoids in car manufacturing, in January 2024, and a Helix 02-powered Figure 02 was shown loading a dishwasher in early 2026. For data purposes the change that matters most is the hand: tactile and in-palm vision streams add channels a Figure 02 dataset simply does not have, so data from the two generations is not interchangeable.

What Figure's numbers mean for your own program

A first useful generalist policy took Figure about 500 hours of curated, multi-operator teleop. That is a team of trained operators working shifts for months, not a weekend of demos.
Cheaper human data (motion capture, egocentric video) scaled Figure's whole-body and navigation work, but it sits on top of a robot-grounded core.
Labeling after collection works when episodes are clean. Messy episodes make hindsight labels wrong.
Operators are paid staff with a defined protocol, whether on site or remote. Figure's listing asked for people who can stand eight hours a day, learn physical tasks quickly and communicate bugs to engineers, which is a good brief for any humanoid operator hire.
New hand sensors change the dataset. If your robot adds tactile or wrist cameras, plan to re-collect rather than mix old and new episodes in one task.

Our teleoperation data collection guide covers how to plan hours, operators and quality checks for a program of that shape.

If you need humanoid operators today

Since a Figure 03 is not available, teams that want to collect teleop data on a humanoid now usually start with a robot they can buy and develop on. The Unitree G1, listed at $13.5K for the base model by Unitree as of October 2026 (EDU, needed for development, by quote), has the largest open teleop and dataset ecosystem. The full-size Unitree H2 suits tasks that need adult reach, and Unitree added it to its open xr_teleoperate stack in v1.6.

How RoboPilots runs humanoid operators

Several humanoid makers have sent RoboPilots robots to test our operating protocols. On a customer program, the robot stays at your site and we train a dedicated group of operators on your unit and task protocol, so the dataset reflects a consistent, documented way of doing each task.

One-week trial

Sets your clean-episodes-per-operator-hour baseline on your robot before you plan hundreds of hours.

Coverage

Shifts across time zones, including US Pacific, so the robot collects around the clock.

Data

Episodes labeled by task and outcome and delivered as LeRobot, RLDS or HDF5.

Interfaces, specs and sources

  • Helix / Helix 02 VLA (on-board)
  • Teleoperation equipment (Figure operators)
  • Human video and motion data
  • Figure Index app (human data)
  • No public SDK

Availability: Not publicly for sale. Figure's product page lists no price and no order option, only a contact form, as of October 2026. Adcock said in May 2026 that Figure would soon lease robots for home use at about $600 a month (as reported on Wikipedia); no lease offer appears on Figure's site as of October 2026.

Specs are the maker's published figures, checked on . RoboPilots is not affiliated with Figure AI; product names are trademarks of their owners.

Frequently asked questions

Can I buy a Figure 03?
No. Figure lists no price or order option for Figure 03 as of October 2026 and deploys robots through its own commercial agreements. Its CEO has spoken about a future home lease, but no offer is open on Figure's site.
Is Figure 03 teleoperated?
Figure labels its Helix 02 showcase videos as fully autonomous. Teleoperation is part of how Figure trains and runs its robots: Helix was trained on about 500 hours of teleoperated data, and Figure has hired operators who may wear teleoperation equipment.
What data was Helix trained on?
Figure says the original Helix used about 500 hours of high-quality, multi-robot, multi-operator teleoperation data, with instructions written afterwards by a vision-language model. Helix 02 added a whole-body controller trained on over 1,000 hours of retargeted human motion plus simulation.
What is Figure Index?
An app-based network where contributors are paid by the minute to record themselves doing everyday tasks with a recording device, to build a human dataset for Figure's robots. Figure reports $35M paid out across 111 countries.
How much does Figure 03 cost?
Figure has not published a price. In May 2026 its CEO said a home lease of about $600 a month was coming, as reported on Wikipedia, but there is no listed price or lease offer.