Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.

Abstract: A predicting device of a production system includes a machine learning device that learns the relationship between a change in measurement data indicating the state of a power supply and a failure which occurs in the power supply. The machine learning device learns the measurement data including at least a measurement value of electric power consumption in a factory by correlating a state variable indicating the current state of an environment with judgment data indicating a failure notification indicating the occurrence of a failure. A control device of the production system includes a receiving section that receives a prediction notification of a failure which occurs in the power supply, the failure being predicted based on a change in the measurement data indicating the state of the power supply, and a retracting operation control section that makes a working machine transition to a safely retracted state when receiving the prediction notification.

Abstract: A machine learning device, which performs a task using a plurality of industrial machines and learns task sharing for the plurality of industrial machines, includes a state variable observation unit which observes state variables of the plurality of industrial machines; and a learning unit which learns task sharing for the plurality of industrial machines, on the basis of the state variables observed by the state variable observation unit.

Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.

Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.

Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.

Abstract: A predicting device of a production system includes a machine learning device that learns the relationship between a change in measurement data indicating the state of a power supply and a failure which occurs in the power supply. The machine learning device learns the measurement data including at least a measurement value of electric power consumption in a factory by correlating a state variable indicating the current state of an environment with judgment data indicating a failure notification indicating the occurrence of a failure. A control device of the production system includes a receiving section that receives a prediction notification of a failure which occurs in the power supply the failure being predicted based on a change in the measurement data indicating the state of the power supply and a retracting operation control section that makes a working machine transition to a safely retracted state when receiving the prediction notification.

Abstract: A controller is provided with a plurality of CPUs and temperature sensors disposed in the vicinity of the CPUs, individually. The CPUs reciprocally read temperature data detected by the temperature sensors. When the read temperature data exceed a predetermined threshold, it is determined that the CPUs are likely to undergo thermal runaway, and the CPUs are then stopped.

Abstract: A robot includes a motor that includes a brake and moves an arm on a drive axis, and a rotational position detector that detects movement of the arm. When a state occurs in which the robot is preferably emergency-stopped, a control device performs an emergency stop control in which the brake is operated and power supply to the motor is interrupted. When the movement of the arm is detected based on an output of the rotational position detector during the emergency stop control, the control device supplies power to the motor to prevent the movement of the arm.

Abstract: A machine learning device, which performs a task using a plurality of industrial machines and learns task sharing for the plurality of industrial machines, includes a state variable observation unit which observes state variables of the plurality of industrial machines; and a learning unit which learns task sharing for the plurality of industrial machines, on the basis of the state variables observed by the state variable observation unit.

Abstract: A robot includes a motor that includes a brake and moves an arm on a drive axis, and a rotational position detector that detects movement of the arm. When a state occurs in which the robot is preferably emergency-stopped, a control device performs an emergency stop control in which the brake is operated and power supply to the motor is interrupted. When the movement of the arm is detected based on an output of the rotational position detector during the emergency stop control, the control device supplies power to the motor to prevent the movement of the arm.

Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.

Abstract: A controller is provided with a plurality of CPUs and temperature sensors disposed in the vicinity of the CPUs, individually. The CPUs reciprocally read temperature data detected by the temperature sensors. When the read temperature data exceed a predetermined threshold, it is determined that the CPUs are likely to undergo thermal runaway, and the CPUs are then stopped.