Advancing Humanoid Balance Control with HuB

One of the greatest hurdles in humanoid robotics isn’t walking—it’s staying upright under pressure. While modern robots can run, climb, and even dance, true human-like balance remains elusive. Subtle shifts in weight, unexpected disturbances, or imperfect motion planning often send robots wobbling, forcing engineers to confront the limits of today’s control systems.

A recent breakthrough, called HuB (Humanoid Balance), is pushing the frontier of stability. Instead of relying on a single method, HuB takes a unified approach—blending optimization, machine learning, and robustness training into one framework designed to keep humanoids steady even in extreme conditions.