Abstract: An operation system including: a prediction unit configured to determine a predicted value of a motion of an operator at a prediction time that is a time after elapse of a prediction time interval from the present using a predetermined machine learning model from a biomedical signal of the operator; a control unit configured to control a motion of a robot on the basis of the predicted value; and a prediction time setting unit configured to determine the prediction time interval on the basis of a delay time from a current value of the motion of the operator to the motion of the robot.

Abstract: An operation system including: a prediction unit configured to determine a predicted value of a motion of an operator at a prediction time that is a time after elapse of a prediction time interval from the present using a predetermined machine learning model from a biomedical signal of the operator; a control unit configured to control a motion of a robot on the basis of the predicted value; and a prediction time setting unit configured to determine the prediction time interval on the basis of a delay time from a current value of the motion of the operator to the motion of the robot.

Abstract: An operation system and an operation method that may improve operability are provided. The operation system includes a circuitry configured to determine a predicted value of an operator motion after a predetermined prediction latency from a current time based on a bio-signal using a prescribed machine learning model, the bio-signal captured from the operator and a controller configured to control a motion of a robot based on the predicted value. The operation method includes a step of determining a predicted value of an operator motion after a predetermined latency from the current time based on a bio-signal using a prescribed machine learning model, the bio-signal captured from the operator, and a step of controlling a motion of a robot on the predicted value.