- 专利标题： REINFORCEMENT LEARNING FOR CONTACT-RICH TASKS IN AUTOMATION SYSTEMS
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申请号： US16970450申请日： 2018-09-13
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公开(公告)号： US20210107142A1公开(公告)日： 2021-04-15
- 发明人: Eugen Solowjow , Juan L. Aparicio Ojea , Chengtao Wen , Jianlan Luo
- 申请人： Siemens Aktiengesellschaft , THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- 申请人地址： DE Munich; US CA Berkeley
- 专利权人： Siemens Aktiengesellschaft,THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- 当前专利权人： Siemens Aktiengesellschaft,THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- 当前专利权人地址： DE Munich; US CA Berkeley
- 国际申请： PCT/US2018/050862 WO 20180913
- 主分类号： B25J9/16
- IPC分类号： B25J9/16
摘要：
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). The method includes receiving (406) force torque feedback (556) inputs from a sensor (554) on the robot (102). The method includes producing (410) a robot control command for the robot (102) based on the robot state information (554) and the force torque feedback (556) inputs. The method includes controlling (412) the robot (102) using the robot control command.
公开/授权文献
- US2694930A Temperature measuring apparatus 公开/授权日：1954-11-23