The recent modular robot video released by Flexion Robotics is quite impressive, demonstrating stable movement and agile actions in complex terrains and post-disaster cleanup scenarios. The engineering completion is very high; it is no longer a conceptual machine in a laboratory but rather capable of working independently in real, unstructured environments. However, when such robots truly venture outdoors and face completely uncontrollable environments, merely looking capable is far from enough. The real challenge lies not in whether it can complete the task, but in why it chose that particular action at that moment. How accurate is the perception system's judgment of the surrounding environment? Does the entire decision-making process consistently adhere to safety standards and operational rules? If these questions can only be answered by reviewing logs afterward or listening to what the manufacturers say, then this system is essentially a black box. In field operations, disaster rescue, or public places, no one can trust a black box-style autonomous decision-making. For outdoor robots that can truly be deployed, there must be verifiable decision records; it cannot be a matter of reviewing after an incident, but rather being able to clearly demonstrate that every key action is based on reliable perception, compliant reasoning, and traceable execution. Only when robots begin to take on real risks can trust be supported not just by a flashy demonstration video, but by a rigorous, auditable verification mechanism.