ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,384,029, issued on Aug. 12, was assigned to FANUC Corp. (Yamanashi, Japan).
"Efficient method for robot skill learning" was invented by Yu Zhao (Santa Clara, Calif.) and Tetsuaki Kato (Fremont, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method and system for robot skill learning for high precision assembly tasks employing a compliance controller. A reinforcement learning (RL) controller is pre-trained in an offline mode using human demonstration data, where several repetitions of the demonstration are performed while collecting state and action data for each repetition. The demonstration data is used to pre-train a neural network in the RL ...