Humanoid Robots & AI Robotics
Last updated: April 2026
Physical AI systems — humanoid robots from Figure, Boston Dynamics, and 1X Technologies that can navigate real-world environments.
Why It Matters in 2026
Humanoid robots moved from research labs to factory floors in 2025, and 2026 is the year of scaled deployment. Companies like Figure, 1X Technologies, and Agility Robotics are shipping robots to automotive and logistics companies.
The convergence of large language models with physical robotics is enabling robots that can understand natural language instructions and adapt to unstructured environments — a breakthrough that was science fiction just three years ago.
The TAM for humanoid robots could hit $150 billion by 2035. That's one of the largest emerging categories in AI, and it's attracting capital accordingly.
Key Companies
10 trackedWaymo
AI Robotics
$126.0B
score
Wayve
AI Robotics
$8.6B
score
Figure AI
AI Robotics
$39.0B
score
Mobileye
AI Robotics
$7.6B
score
Boston Dynamics
AI Robotics
$4.0B
score
GreyOrange
AI Robotics
$700M
score
Skild AI
AI Robotics
$14.0B
score
Apptronik
AI Robotics
$5.5B
score
Physical Intelligence
AI Robotics
$5.6B
score
1X Technologies
AI Robotics
$820M
score
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Explore trend →Frequently Asked Questions
What are humanoid robots?
Humanoid robots are bipedal robots designed to operate in human environments. They combine AI perception, language understanding, and dexterous manipulation to perform physical tasks.
Which companies build humanoid robots?
Leading companies include Figure (Figure 02), 1X Technologies (NEO), Agility Robotics (Digit), Boston Dynamics (Atlas), Tesla (Optimus), and Sanctuary AI (Phoenix).
Are humanoid robots commercially available?
As of 2026, several companies have begun commercial deployments in warehouses and factories. Consumer humanoid robots remain years away, but industrial use cases are scaling rapidly.
How are AI and robotics converging?
Foundation models give robots language understanding and common-sense reasoning. Combined with computer vision and reinforcement learning, robots can now understand natural language instructions and adapt to new tasks.