Invention Grant
- Patent Title: Rapid robotic imitation learning of force-torque tasks
- Patent Title (中): 快速机器人模拟学习力 - 扭矩任务
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Application No.: US14285867Application Date: 2014-05-23
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Publication No.: US09403273B2Publication Date: 2016-08-02
- Inventor: David W. Payton , Ryan M. Uhlenbrock , Li Yang Ku
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Applicant Address: US MI Detroit
- Assignee: GM Global Technology Operations LLC
- Current Assignee: GM Global Technology Operations LLC
- Current Assignee Address: US MI Detroit
- Agency: Quinn Law Group, PLLC
- Main IPC: B25J9/16
- IPC: B25J9/16 ; G05B19/423

Abstract:
A method of training a robot to autonomously execute a robotic task includes moving an end effector through multiple states of a predetermined robotic task to demonstrate the task to the robot in a set of n training demonstrations. The method includes measuring training data, including at least the linear force and the torque via a force-torque sensor while moving the end effector through the multiple states. Key features are extracted from the training data, which is segmented into a time sequence of control primitives. Transitions between adjacent segments of the time sequence are identified. During autonomous execution of the same task, a controller detects the transitions and automatically switches between control modes. A robotic system includes a robot, force-torque sensor, and a controller programmed to execute the method.
Public/Granted literature
- US20150336268A1 RAPID ROBOTIC IMITATION LEARNING OF FORCE-TORQUE TASKS Public/Granted day:2015-11-26
Information query
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