Fanuc America Corporation

Fanuc Robotics America Corporation

Fanuc Robotics North America, Inc.

Yi Sun

Jason Tsai

Sai-Kai Cheng

Hadi A Akeel

H Dean McGee

Rick E Wunderlich

Gordon Geheb

Bradley Q Niederquell

Isaac Eckert

Don Kijek

Scott J Clifford

Chi-Keng Tsai

Judy Evans

Paul D Copioli

Eric C Lee

Randy A Graca

Peter J Swanson

Leo Keselman

Bradley O Niederquell

Ganesh Kalbavi

Ashok Prajapati

Michael Sharpe

Ken Krause

Robert V Bauer, Jr

Min Ren Jean

Laxmi Musunur

James F Huber

A method for monitoring an industrial robot. The method includes configuring the robot to perform a certain task during an integration process and storing integration data in the robot identifying the configuration of the robot for performing the task. The method also includes installing the robot in a manufacturing facility, and uploading the stored integration data to the Cloud when the robot is installed in the manufacturing facility. The method further includes capturing production data generated by the robot during operation of the robot in the manufacturing facility, uploading the production data to the Cloud, and comparing the production data to the integration data.

Golden data for industrial robots

A method and system for programming a path-following robot to perform an operation along a continuous path while accounting for process equipment characteristics. The method eliminates the use of manual teaching cycles. In one example, a dispensing robot is programmed to apply a consistent bead of material, such as adhesive or sealant, along the continuous path. A computer-generated definition of the path, along with a model of dispensing equipment characteristics, are provided to an optimization routine. The optimization routine iteratively calculates robot tool center point path and velocity, and material flow, until an optimum solution is found. The optimized robot motion and dispensing equipment commands are then provided to an augmented reality (AR) system which allows a user to visualize and adjust the operation while viewing an AR simulation of dispensing system actions and a simulated material bead. Other examples include robotic welding or cutting along a continuous path.

Zero teach for robotic continuous path

An augmented reality (AR) system for diagnosis, troubleshooting and repair of industrial robots. The disclosed diagnosis guide system communicates with a controller of an industrial robot and collects data from the robot controller, including a trouble code identifying a problem with the robot. The system then identifies an appropriate diagnosis decision tree based on the collected data, and provides an interactive step-by-step troubleshooting guide to a user on an AR-capable mobile device, including augmented reality for depicting actions to be taken during testing and component replacement. The system includes data collector, tree generator and guide generator modules, and builds the decision tree and the diagnosis guide using a stored library of diagnosis trees, decisions and diagnosis steps, along with the associated AR data.

Automatic dynamic diagnosis guide with augmented reality

A robot is moved along a first continuous programmed path with a robot controller executing a learning path control program without performing an operation on a workpiece. The actual movement of the robot along the first continuous programmed path is recorded. The first continuous programmed path is adjusted to create a second programmed path. The robot is moved along the second continuous programmed with the robot controller executing the learning path control program without performing the operation on the workpiece. The actual movement of the robot along the second continuous programmed path is recorded. Traces of the recorded actual movements of the robot along the first continuous programmed path and the second continuous programmed path are displayed.

Learning path control

A method and a system stream robot tool center point position to external processors at high frequency. The method includes the steps of: reading robot joint encoder data using an Interrupt Service Routine in the robot controller; calculating tool center point position based on the encoder data; and sending the calculated position data to a network socket in a high priority task. The method achieves tool center point and/or joint position communication at fast and consistent time intervals, as compared to much longer times for prior art methods. A downstream device, such as a processor or controller for another machine, reads the communicated tool center point and/or joint position data and uses it to control the operations of its own device. High speed motion command streaming from outside processors can be used in a similar way to control the robot.

Robot high frequency position streaming

A robot data transfer method includes the step of collecting data from each of a plurality of robots in a multi-robot production facility in real-time. The data collected from the robots is then transferred in real-time from a controller of each of the robots to a first data collection device. Within the first data collection device, the data is buffered using a multi-segment queueing mechanism. The queueing mechanism is configured with a retention policy. The data is then transferred to a second data collection device based on the retention policy of the queueing mechanism of the first data collection device. The second data collection device analyzes the data and determines whether maintenance or optimization is necessary for any of the robots.

System for diagnosis of robot state

A robot monitoring system for monitoring and analyzing robot related data and displaying the data on a smart device is provided. The robot monitoring system comprises at least one robot in local communication with at least one robot controller. The at least one robot controller has local processing power for monitoring, gathering, and analyzing data related to the at least one robot. The data analysis results are formatted into a message file that is communicated to a storage system. The message file may then be retrieved by a smart device having software running thereon for displaying the results of the data analysis.

System to monitor/analyze robot related information and display on a smart device

A method of controlling robot motion for small shape generation is provided. The method includes the steps of: a) providing a robot having a plurality of interconnected distal links with a respective plurality major axes and a respective plurality of minor axes, the robot having a controller for moving the robot to a starting position and along a path including a series of interpolated positions to be followed relative a workpiece; b) moving the robot to the starting position; c) determining a next interpolated position on the path, wherein the robot remains fixed in position about at least one of the major axes and a location and an approach vector of the next interpolated position can be achieved; and d) moving the robot to the next interpolated position. A method where the robot remains fixed in position about all major axes is also provided.

Method of controlling a robot for small shape generation

A method and system for handling a swing metal panel using a robot's drive axis servo motor feedback to eliminate the need for the sensors and breakaway devices is provided. Using the servo motor feedback for this function reduces cost and improves reliability. The method also applies the servo motor feedback to hold a panel in position and exchange the panel between robots during the painting or coating process.

Servo motor monitoring and hood/deck exchange to enhance the interior coating process

An apparatus and a method for optimizing robot performance includes a computer connected to the robot controller for receiving performance data of the robot as the controller executes a path program. The computer uses the performance data, user specified optimization objectives and constraints and a kinematic/dynamic simulator to generate a new set of control system parameters to replace the default set in the controller. The computer repeats the process until the new set of control system parameters is optimized.

Method for optimizing a robot program and a robot system

A method of teaching a robot a desired operating path and a lead-through teach handle assembly are disclosed. A mounting mechanism mounts the entire handle assembly to an arm of the robot. The handle assembly also includes a handle that is supported by the mounting mechanism. A robot operator utilizes the handle assembly and grasps the handle to apply an external force to move the robot arm, or the operator, without the handle assembly, directly holds a tool connected to the robot arm to apply the external force at the tool. The handle assembly is characterized by a universal joint that interconnects the handle and the mounting mechanism and that accommodates orientation changes of the handle relative to the mounting mechanism that result from translational and rotational movement of the robot arm as the user is teaching the robot. The external force applied at the tool is estimated with either a force sensor disposed on the handle assembly or by monitoring the torque of motors used to move the robot. Motion commands are generated in response to the estimated force to power assist the operator in moving the robot arm. During teaching of the robot, the operator selects either a translational operating mode which limits the movement imparted on the tool only to translational movement, or a rotational operating mode which limits the movement imparted on the tool only to rotational movement.

Growing community of inventors

West Bloomfield, MI, United States of America

Yi Sun