Five Fingers, Two Legs: Why Humanoid Robots Are Still Not Ready

Despite rising expectations for AI-powered humanoids, fueled by investments from companies like Tesla, Unitree, Figure AI, and Boston Dynamics, the reality of widespread commercial deployment remains distant. A critical barrier discussed at RoboBusiness 2026 is the intricate challenge of designing hands that can perform with human-like dexterity. The complexity of a human hand, with its 27 bones, 27 joints, and 34 muscles, presents a formidable engineering task to replicate in robots.

A robot's hand movement capability is measured by "degrees of freedom" (DOF), indicating the number of independent ways it can articulate. While an estimated 20 to 30 DOFs are judged necessary for a humanoid hand to operate as freely as a human's, current leading humanoids deploy 22 DOFs in the fingers and 25 including the wrist. However, this count alone does not translate to equivalent human capability.

The core difficulty extends beyond merely increasing DOFs. Robots currently struggle to adjust finger force and pressure precisely according to an object's weight, a fundamental human ability. Furthermore, coordinating fingers, arms, and eyes to handle moving objects presents an even greater hurdle, with current models finding it difficult even with stationary items. Rodney Brooks, co-founder of Robust AI, noted the significant challenge, suggesting that five-fingered robot hands may not be achieved within 20 years, and that even three-fingered hands are still elusive in lab settings.