The Nuro Autonomy Stack

Beginning by selecting minimal routes, then gathering data using our sensor stack

Using machine learning and geometric approaches across different sensors to detect objects

Our multi-sensor approach ensures reliable detections, even when driving at night or in the rain

To determine the safest option to proceed, we use multihypothesis predictions and roll each of them out 10 seconds into the future

Our bot needs to account for edge cases, such as when children begin circling the vehicle

The bot proceeds cautiously, modulating speed until it has clear visibility before continuing forward