Humanoid robots lack reliable safety mechanisms and generalization capabilities for real-world deployment

Companies and researchers developing humanoid robots struggle with two critical blockers: ensuring safe operation around humans and achieving generalization across diverse tasks and environments. Current solutions fail because safety systems are either overly restrictive (limiting functionality) or inadequately tested, while generalization remains unsolved due to the complexity of training robots for unpredictable real-world scenarios. This prevents humanoid robots from moving from controlled lab settings to practical commercial and industrial applications.