AI & Robotics
Mapping the humanoid robotics landscape and the technological stack: actuation, compute, teleoperation, and the policy problems nobody puts in the keynote.
USA
Tesla Optimus
Vision, end-to-end learning, in-house actuators
Factory tasks in limited form; public demos ahead of unsupervised hours
USA
Figure
Humanoid + BMW-class manufacturing pilots, foundation-model bets
High-visibility pilots; teleop still in the data loop
USA
Boston Dynamics Atlas
Electric Atlas, world-class mobility, Hyundai industrial path
Research and industrial transition
USA
Agility Digit
Biped for logistics, GXO-style warehouse work
Early commercial hours; form factor is the thesis
Norway / USA
1X Neo
Soft-robotics bias, home thesis, tendon-driven hardware
Consumer narrative, safety case still the gate
USA
Apptronik Apollo
Industrial humanoid, Mercedes and Google-class partners
Partner-led factory path
China
Unitree
Cost, volume, quadruped heritage into humanoids
Hardware accessible; stack catching up in public
Germany
NEURA Robotics
Cognitive robotics, European industrial customers
EU-native alternative in the conversation
A humanoid is a bet that the world is already built for humans, so the robot should be too. The stack underneath that bet is not one product: actuators and gearboxes, battery and thermal, hands, onboard compute, foundation models, teleoperation for data, and a safety case that industrial regulators will actually accept.
The interesting split in 2026 is not 'who has a demo'. It is who is collecting real hours in a real workplace, who still depends on a puppeteer, and who has a path from supervised factory tasks to unsupervised ones without rewriting the safety case every quarter.
More research
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Tesla Ecosystem
Historical data tracking the financial evolution of Full Self-Driving technology: package price, subscription, and the Robotaxi story sitting on top of it.
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