Flat tires are a fact of life whether there’s a human behind the wheel or not. For autonomous vehicles (AVs) operating as cars on the road, a hypothetical example at scale might look something like this: A single vehicle driving for an hour may only have a one-in-a-million chance of getting a flat, but for 10,000 AVs, that could be a 50% chance of a flat tire every two weeks somewhere in the fleet. Why? Time + scale = more risk.
All autonomous systems inherently involve risk because they are machines, and machines can malfunction. These types of systems include both hardware and software, which results in a high level of complexity. That’s why builders must carefully analyze the hazards associated with the various functions of the system. Some machines are more dangerous than others. Hence, different types of systems must be designed to meet the appropriate risk reduction level for its application. Clearly, a system designed for autonomous cars or passenger planes should have a higher safety designation than a small household robotic vacuum.
Although Brain Corp’s Autonomous Mobile Robots (AMRs) move much slower than AVs and are less likely to cause injury, the reality is that they operate around people in close quarters. And, unlike today’s AVs, AMRs powered by BrainOS already operate at a large scale without a person immediately present to take over via manual override. That’s why Brain Corp follows a rigorous and systematic safety planning process.
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