vicone-physical-ai-robot-safety-whitepaper
Your robot knows when to stop. What if it trusts the wrong information?

Obstacle avoidance. Speed limits. Force controls. Each can depend on information an attacker could manipulate, even while the software works as designed. How do you test whether your safeguards still hold? This VicOne white paper gives robotics teams a practical starting point:

(1) 14 case analyses connecting manipulated inputs to potential physical consequences.

(2) A seven-step validation process to assess safety impact and test mitigations.

(3) Practical runtime guidance to detect behavioral changes and reassess safeguards as systems evolve.