The AI opportunity in humanoid actuator design

A briefing for humanoid and advanced robotics manufacturers

Research from Barclays and AlphaSense suggests AI-powered robotics is at a tipping point. The market for humanoids is currently valued at $2-3 billion and is projected to surge to $40 billion by 2035 in a base case, with upside scenarios reaching $200 billion.

Actuators, the electro-mechanical systems that allow robots to replicate human movements, account for 40–60% of a humanoid robot's bill of materials. The motor, reducer, driver, and encoder stack represent 80–90% of that figure. Optimising them simultaneously against the robot's actual motion requirements, across cost, performance, thermal capacity, and manufacturability, is beyond what conventional sequential design methods can achieve within a standard programme timeline.

Engineering AI, trained on the laws of physics, changes this by evaluating millions of candidate designs and co-optimising an entire actuator system as a single challenge, not in months but in days.

Monumo has published a market briefing covering the pressures facing actuator programmes today, what system-level engineering AI changes in practice, and results from commercial motor programmes, including a 17% reduction in active material cost and a reduction in design cycles from months to days.