公开(公告)号：US20170232613A1

公开(公告)日：2017-08-17

申请号：US15464104

申请日：2017-03-20

Applicant: Brain Corporation

Inventor： Filip Ponulak ,  Moslem Kazemi ,  Patryk Laurent ,  Oleg Sinyavskiy ,  Eugene zhikevich

IPC: B25J9/16 ,  G05D1/02 ,  G05D1/00

CPC classification number: B25J9/163 ,  B25J9/161 ,  G05B2219/36418 ,  G05B2219/36425 ,  G05B2219/40499 ,  G05D1/005 ,  G05D1/0088 ,  G05D1/0221 ,  G05D2201/02 ,  G06N3/008 ,  G06N3/049 ,  G06N99/005

Abstract: Robotic devices may be trained by a trainer guiding the robot along a target trajectory using physical contact with the robot. The robot may comprise an adaptive controller configured to generate control commands based on one or more of the trainer input, sensory input, and/or performance measure. The trainer may observe task execution by the robot. Responsive to observing a discrepancy between the target behavior and the actual behavior, the trainer may provide a teaching input via a haptic action. The robot may execute the action based on a combination of the internal control signal produced by a learning process of the robot and the training input. The robot may infer the teaching input based on a comparison of a predicted state and actual state of the robot. The robot's learning process may be adjusted in accordance with the teaching input so as to reduce the discrepancy during a subsequent trial.