Robustness

Robustness is a robot’s ability to function reliably in the real world despite the uneven ground, sensor noise, hardware fatigue, power loss, and software faults. Recent methods include domain randomization, adaptive control loops, and redundant sensing to handle failures before they cascade. Robots now train in simulations full of noise and disruption to prepare for reality.Compliant joints and soft actuators absorb shock. Hybrid control stacks fuse physics models with learned policies for real-time adjustment under stress. Robots won’t succeed just by performing complex tasks, they must endure unpredictable ones. Robustness turns skills into reliability.