US Patent Issued to Siemens, The Regents of the University of California on May 20 for "Reinforcement learning for contact-rich tasks in automation systems" (California Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,304,072, issued on May 20, was assigned to Siemens AG (Munich) and The Regents of the University of California (Berkeley, Calif.).

"Reinforcement learning for contact-rich tasks in automation systems" was invented by Eugen Solowjow (Berkeley, Calif.), Juan L. Aparicio Ojea (Moraga, Calif.), Chengtao Wen (Redwood City, Calif.) and Jianlan Luo (Berkeley, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for controlling robots including industrial robots. A method includes executing (402) a program (550) to control a robot (102) by the robot control system (120, 500). The method includes receiving (404) robot state information (554)...