US Patent Issued to Zoox on May 27 for "Conditional trajectory determination by a machine learned model" (California Inventor)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,311,972, issued on May 27, was assigned to Zoox Inc. (Foster City, Calif.).

"Conditional trajectory determination by a machine learned model" was invented by Ethan Miller Pronovost (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for predicting an object trajectory or scene information are described herein. For example, the techniques may include inputting tokens representing discrete behavior into a machine learned model. The machine learned model may output a sequence of tokens that is usable by another machine learned model to generate an object trajectory (e.g., position data, velocity data, acceleration data, etc.) fo...