By Dorian Cartwright | TrustRobotics™ A humanoid robot enters an office, opens a drawer, retrieves a document, and delivers it to someone waiting outside. Its movements are controlled. It avoids collisions. Nothing is damaged, and nobody is injured. But was it authorized to enter the office? Was the person entitled to receive the document? Was the robot acting within its assigned role? A robot can perform a physically safe action that it should never have performed. Trusted a

By Dorian Cartwright | TrustRobotics™ TrustRobotics has published a new white paper for the TrustBoundary Physical AI Safety Standard (TB-PAS 1.0), a working framework for governing the critical boundary between AI-generated intent and physical actuation. As humanoid robots and other Physical AI systems move from controlled laboratories into factories, hospitals, warehouses, homes, schools, transportation systems, and public spaces, safety can no longer be treated only as a

By Dorian Cartwright | TrustRobotics™ Tech hyperscalers and robotics OEMs are spending billions to scale the generative “brains” of the next generation of autonomous hardware. Vision-Language-Action (VLA) models are allowing humanoids and mobile agents to fluidly navigate unstructured human environments. But as advanced robotics move out of laboratory cages and onto trade show floors, corporate event spaces, and municipal sidewalks, the industry faces an invisible brick wall:

By Dorian Cartwright | TrustRobotics™ For decades, robotics safety has focused on machines: emergency stops, speed limits, force thresholds, protective separation, and functional safety. The age of Humanoid & Physical AI introduces a new question: When should an AI-generated action be permitted to move the physical world? TB-PAS 1.0 proposes that every AI-generated physical action pass through a mandatory TrustBoundary before reaching a robot's actuators. The core principle i

San Jose, California — TrustRobotics announced today that it is building one of the industry’s most comprehensive foundational patent portfolios directed to Physical AI, humanoid robotics, and AI-to-actuator governance.