Fanuc Corporation

Shunichi Ozaki

Hiroji Nishi

Tomoyuki Yamamoto

Nao Ooshima

A machining control system includes: a numerical control device controlling a machine tool; and a robot control device communicating with the numerical control device and controlling a robot having a plurality of drive axes. The numerical control device includes: a coordinate position command generation unit generating a coordinate position command specifying a target coordinate position at each time of a leading end part of the robot, based on a machining program; and a communication unit sending the current target coordinate position to the robot control device. The robot control device includes: a target drive position calculation unit calculating a target drive position of each of the plurality of drive axes to position the leading end part at the target coordinate position; and a drive command generation unit generating a drive command to each of the drive axes to position the drive axes at the calculated target drive position.

Machining control system and machining system

A robot control device includes manual pulse generation units that generate pulses having a pulse number depending on an operation amount of an operator, command signal calculation units that calculate an operation command signal to a robot based on a pulse number to be input, and a pulse number limiting unit that limits, to a threshold, the pulse number to be input into the command signal calculation units, in a case or cases where the pulse number generated by the manual pulse generation units is larger than the predetermined threshold, where, in a case or cases where the pulse number generated by the manual pulse generation units is equal to or less than the threshold, the pulse number is output as it is.

Robot control device

A machine learning device for learning a motion of a robot engaged in a task performed by a human and a robot in cooperation with each other, including a state observation unit that observes a state variable indicating a state of the robot when the human and the robot cooperate with each other and perform a task; a reward calculation unit that calculates a reward based on control data and the state variable for controlling the robot and on an action of the human; and a value function update unit that updates an action value function for controlling a motion of the robot, based on the reward and the state variable.

Machine learning device, robot system, and machine learning method for learning motion of robot engaged in task performed by human and robot in cooperate with each other

Provided is an industrial-robot control device including a microphone attached to an industrial robot, a specific-sound detector that detects a specific sound from a sound picked up by the microphone, and a controller that allows the industrial robot to operate only during a period in which the specific sound is detected by the specific-sound detector.

Industrial-robot control device

A communication system according to an embodiment of the present invention includes a robot control device, a programmable logic controller for establishing communication with the robot control device, and a communication setting device that is loaded with a configuration file to define communication parameters used in the communication. The communication setting device sets the communication parameters to the programmable logic controller. The robot control device includes a file output unit for outputting the configuration file depending on an internal state of the robot control device.

Robot control device and communication system having communication function for communicating with programmable logic controller

An apparatus for setting an interference region of a robot includes a 3D camera which photographs surroundings of a robot to acquire a camera image of a region around the robot including distance information and color information, a 3D map generation unit which generates a 3D map including a plurality of point sequences which are arranged at equal intervals in a 3D space around the robot on the basis of the camera image, a color setting unit which sets a color of the robot, a color search unit which searches for a point sequence including color information corresponding to the robot color from the 3D map, and an interference region setting unit which sets an interference region on the basis of position data of the searched point sequence.

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Yamanashi, Japan

Shunichi Ozaki