Topic briefing
Humanoid Robots
A grounded guide to human-shaped robots, their design tradeoffs, applications, and the evidence needed to evaluate progress.
Updated · By Physical AI Guide Editorial Team
Humanoid robots use a body plan that resembles the human form, usually including a torso, arms, and legs. The practical argument for that form is compatibility. Much of the built world, including doors, stairs, shelves, tools, and workstations, was designed around human reach and mobility.
Why the form matters
A humanoid can potentially use spaces without rebuilding them around a special machine. That flexibility comes at a cost. Balance, fall safety, power consumption, dexterous manipulation, and reliability are difficult engineering problems. A wheeled base or fixed arm is often simpler when the task and environment permit it.
The capability stack
Useful humanoids combine locomotion, whole-body control, perception, manipulation, task planning, and safe interaction. The weakest layer can limit the entire system. Strong walking does not guarantee useful hands; a capable model does not remove payload or battery constraints.
How to evaluate a demonstration
Look for task duration, intervention rate, operating speed, environment variability, payload, and recovery behavior. Distinguish a research demonstration from a pilot and a repeatable deployment. Each can be meaningful, but they answer different questions.
Latest evidence boundary
BMW now confirms that Figure 02 worked in production for ten months and supported production of more than 30,000 BMW X3 vehicles. That customer-side evidence is stronger than a vendor demonstration alone. BMW describes Figure 03 as a separate next logistics-sequencing project, while Figure calls the published workflow its first demonstration; recurring Figure 03 operating metrics remain unpublished (BMW Group, Figure).
Mitsubishi Motors and Highlanders have also signed an MOU to explore humanoid development, use at Mitsubishi facilities, and possible production at the Kyoto Plant. The early-2027 timing is under study, so this remains an announcement and feasibility plan, not an active pilot or manufacturing start (Mitsubishi Motors).
Agility Robotics now describes a three-stage deployment process for Digit: controlled solution setup, a cordoned customer-site proof of concept, and 90 days of production measurement before ongoing service. This is process evidence, not a published customer result. The humanoid Robots-as-a-Service buyer’s guide explains what the measurement window and contract still need to disclose (Agility Robotics).
Where to continue
Start with the evidence-based comparison Humanoid Robots in 2026: What Is Actually Available, Piloting, or Deployed?. It separates announcements and demonstrations from customer pilots, commercial ordering, and documented production work across Digit, Apollo, Atlas, Figure, Phoenix, NEO, G1, and H1.
Then read What Is Physical AI?, compare the company directory, and use the glossary for terms such as whole-body control, teleoperation, and degrees of freedom.
Developers evaluating open training and rollout tooling can also read the LeRobot v0.6.0 practical guide, including its support for Unitree G1 data workflows, simulation evaluation, and intervention capture.