G05B2219/36489

Encoder and data transmission method
10911077 · 2021-02-02 · ·

An encoder that receives, from a control device, a request signal for requesting position data and transmits a response signal including the position data to the control device by serial communication, at a predetermined communication cycle, includes: a response signal generating unit configured to generate a response signal including the position data and associated data associated with the position data; and a transmitting unit configured to transmit the generated response signal. The transmitting unit is configured to transmit the associated data prior to transmission of the position data when transmitting the response signal.

ROBOT SYSTEM AND ROBOT CONTROL METHOD

A robot system includes circuitry. The circuitry may be configured to acquire teaching position data including a plurality of teaching positions arranged in time series based on the demonstration data of the operator. The circuitry may be further configured to generate thinned position data obtained by removing at least one of the teaching positions from the teaching position data. The circuitry may be further configured to generate a position command based on the thinned position data. The circuitry may be further configured to operate the work robot based on the position command.

ENCODER AND DATA TRANSMISSION METHOD
20200052728 · 2020-02-13 · ·

An encoder that receives, from a control device, a request signal for requesting position data and transmits a response signal including the position data to the control device by serial communication, at a predetermined communication cycle, includes: a response signal generating unit configured to generate a response signal including the position data and associated data associated with the position data; and a transmitting unit configured to transmit the generated response signal. The transmitting unit is configured to transmit the associated data prior to transmission of the position data when transmitting the response signal.

ROBOT CONTROL DEVICE
20190329404 · 2019-10-31 ·

A robot control device that creates a control program for work of a robot with a force detector, the device includes a processor. the processor is configured to: display an input screen including an operation flow creation area for creating an operation flow of work including a force control operation on a display device; convert the created operation flow into a control program; and execute the control program to control the robot, and when an operation of the robot is not a predetermined operation set in advance after the control program is executed, the processor displays a screen for presenting a countermeasure for realizing the predetermined operation set in advance on the display device.

Human collaborative robot system having improved external force detection accuracy by machine learning
10324425 · 2019-06-18 · ·

A human collaborative robot system having a function of detecting a force includes a human collaborative robot and a learning unit into which sensing data, internal data, and calculation data are input. The learning unit outputs a first force component applied to the human collaborative robot from outside, a second force component occurring in an operation of the human collaborative robot, and a third force component categorized as noise; and performs learning using supervised data in which inputs and correct labels obtained in advance are collected in pairs, wherein the correct labels of the supervised data are obtained by exerting a force on the human collaborative robot from outside, operating the human collaborative robot over a plurality of paths, and applying noise to the human collaborative robot, and the operation of the human collaborative robot is controlled based on the first force component output from the learning unit.

Robot control device, robot system, and robot control method

A robot control device includes: a trained model built by being trained on work data; a control data acquisition section which acquires control data of the robot based on data from the trained model; base trained models built for each of a plurality of simple operations by being trained on work data; an operation label storage section which stores operation labels corresponding to the base trained models; a base trained model combination information acquisition section which acquires combination information when the trained model is represented by a combination of a plurality of the base trained models, by acquiring a similarity between the trained model and the respective base trained models; and an information output section which outputs the operation label corresponding to each of the base trained models which represent the trained model.

METHOD FOR PROGRAMMING A FORCE TO BE APPLIED BY A ROBOT

Method for programming a force to be applied by a working end of a robot, along at least part of a preprogrammed path of the working end, the method comprising the steps of:moving the working end of the robot over the said at least part of the preprogrammed path, the driving of the robot being feedback-controlled in order the keep the working end in position without a force setpoint,at least at one position during the movement, having an operator apply to the working end a force which is the opposite of that which is to be applied during the task and which has an intensity proportionate to that which is to be applied during the task,determining the force that is to he applied cluing the task from the resistive force exerted by the robot in order to keep the working end on the path,storing in memory the three thus determined in relation to the position of the working end while the opposing force is being applied.

Automatic machining force optimizing system and method for NC program

A system and a method for optimizing machining force of NC program is disclosed. The system includes a tool path acquisition unit and a NC program optimizing unit; the tool path acquisition unit is for acquiring a coordinate set of points composed by a coordinate information outputted by a controller, and modifying with respect to the coordinate set of points so as to form a tool path; the NC program optimizing unit is for analyzing machining force in accordance with the tool path, a tool information, a workpiece information and a machine tool characteristic information, and modifying with modified processing feed rates to generate an optimized NC program.

Information processing apparatus, information processing method, and information processing program

There is provided an information processing apparatus for fully utilizing the functions of a machine tool by correctly converting CL data into an NC program. The information processing apparatus includes a CL data acquirer that can acquire CL data including standardization information based on a rule defined among a plurality of output devices, thereby acquiring CL data including the standardization information associated with at least one of unique control information of the numerical control apparatus, unique control information of the machine tool, and unique control information of a user of the machine tool, and an NC program generator that acquires an NC code corresponding to the standardization information included in the CL data, and generates an NC program including the NC code based on the NC code and the CL data.

AUTOMATIC MACHINING FORCE OPTIMIZING SYSTEM AND METHOD FOR NC PROGRAM

A system and a method for optimizing machining force of NC program is disclosed. The system includes a tool path acquisition unit and a NC program optimizing unit; the tool path acquisition unit is for acquiring a coordinate set of points composed by a coordinate information outputted by a controller, and modifying with respect to the coordinate set of points so as to form a tool path; the NC program optimizing unit is for analyzing machining force in accordance with the tool path, a tool information, a workpiece information and a machine tool characteristic information, and modifying with modified processing feed rates to generate an optimized NC program.