Skip to main content

ABBRobotEGM

License

ABBRobotEGM is a Python library for interfacing with ABB robots using Externally Guided Motion (EGM). This library provides real-time streaming communication with ABB robots at rates up to 250Hz using UDP. It's based on the official ABB EGM documentation and examples, and it's designed to be easy to use and to integrate with other systems.

Prerequisites

  • Python 3.x
  • ABB RobotWare 7.X (should work with 6.X with few modifications)
  • ABB Robot with EGM option (3124-1 Externally Guided Motion)

Installation 🚀

Using pip 🐍

To install the library using pip, run the following command:

pip install ABBRobotEGM

Manual Installation 📦

To use this library in your project, first download the repository and place the ABBRobotEGM folder in your project's directory. You can then import the EGM class from this library to use it in your project.

Simple Examples

The repository includes several examples demonstrating different EGM functionalities. Inside each python example file, you can find the relative RAPID code that should be running on the robot controller.

Guidance Mode

1. Joint

example_joint_guidance.py - Makes the first joint oscillate between -45° and +45°:

2. Cartesian

example_pose_guidance.py - Makes the robot move in a circular pattern

Streaming Mode

1. Joint Streaming

example_joint_stream.py - Streams robot joint positions :

from ABBRobotEGM import EGM

def main() -> None:
    """
    Example showing how to stream the robot's position.
    Be sure the robot is running before running this script.
    """
    with EGM() as egm:
        while True:
            success, state = egm.receive_from_robot()
            if not success:
                print("Failed to receive from robot")
                break
            print(f"{state.clock[1]}, {state.joint_angles[0]}, {state.joint_angles[1]}, {state.joint_angles[2]}, {state.joint_angles[3]}, {state.joint_angles[4]}, {state.joint_angles[5]}")


if __name__ == "__main__":
    main()

2. Cartesian Streaming

example_pos_stream.py - Streams robot cartesian position

from ABBRobotEGM import EGM

def main() -> None:
    """
    Example showing how to stream the robot's position.
    Be sure the robot is running before running this script.
    """
    with EGM() as egm:
        while True:
            success, state = egm.receive_from_robot()
            if not success:
                print("Failed to receive from robot")
                break
            print(f"{state.clock[1]}, {state.cartesian.pos.x}, {state.cartesian.pos.y}, {state.cartesian.pos.z}")


if __name__ == "__main__":
    main()

3. Path Correction

example_path_correction.py - Apply dynamic path corrections during robot movement:

from ABBRobotEGM import EGM
import numpy as np
import time

def main() -> None:
    """
    Example showing how to apply path corrections during robot movement.
    This will apply a sinusoidal correction in the Y direction while the robot
    moves along a straight line in the X direction (using EGMMoveL in RAPID).
    
    The sinusoidal pattern:
    - Amplitude: 5mm
    - Frequency: 0.7 Hz
    """
    with EGM() as egm:
        print("Waiting for initial message from robot...")
        while True:
            success, _ = egm.receive_from_robot(timeout=1.0)
            if success:
                print("Connected to robot!")
                break
            
        # Parameters for sinusoidal correction
        amplitude = 5.0    # mm
        frequency = 0.7      # Hz
        t_start = time.time()
        
        print("Sending Y-axis path corrections...")
        while True:
            success, _ = egm.receive_from_robot(timeout=0.1)
            if not success:
                print("Lost connection to robot")
                break
                
            # Calculate Y correction using sine wave
            t = time.time() - t_start
            y_correction = amplitude * np.sin(2 * np.pi * frequency * t)
            
            # Create correction vector [x, y, z]
            correction = np.array([0.0, y_correction, 0.0])
            
            # Send path correction
            egm.send_to_robot_path_corr(correction, age=1)
            
            # Match robot's sensor refresh rate of 48ms
            time.sleep(0.048)

if __name__ == "__main__":
    main()

RAPID code that should be running on the robot:

MODULE MainModule
    VAR egmident egmID1;
    
    PROC main()
        EGMReset egmID1;
        EGMGetId egmID1;
        EGMSetupUC ROB_1,egmId1,"EGMPathCorr","UCdevice"\PathCorr\APTR;
        EGMActMove EGMid1,MyTool.tframe\SampleRate:=48;
        MoveL StartPos,vmax,fine,MyTool\WObj:=WObj0;
        ! Move in X direction while Python applies Y corrections
        EGMMoveL egmID1,Offs(StartPos,400,0,0),v100,fine,MyTool\WObj:=WObj0;
        MoveL StartPos,vmax,fine,MyTool\WObj:=WObj0;
        EGMStop egmID1,EGM_STOP_HOLD;
    ENDPROC
ENDMODULE

4. Data Exchange

example_table.py - Demonstrates exchanging data arrays with the robot

Complex Scenario

Example of a more complex scenario where the robot is scanning a surface giving in real time its tool center point position and correlating with a sensor reading. Rspag and python code available in "scenario scan" folder.

https://github.com/user-attachments/assets/03f151de-e098-4255-ac46-7dff42231071

Features 🚀

  • Real-time communication at up to 250Hz
  • Joint position control
  • Cartesian position control
  • Position streaming
  • Path corrections
  • RAPID data exchange
  • External axis support
  • Force measurement reading
  • Comprehensive robot state feedback

Contributing 🤝

Contributions are welcome! Please feel free to submit pull requests.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

abbrobotegm-1.0.3.tar.gz (17.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

abbrobotegm-1.0.3-py3-none-any.whl (16.3 kB view details)

Uploaded Python 3

File details

Details for the file abbrobotegm-1.0.3.tar.gz.

File metadata

  • Download URL: abbrobotegm-1.0.3.tar.gz
  • Upload date:
  • Size: 17.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for abbrobotegm-1.0.3.tar.gz
Algorithm Hash digest
SHA256 200dfe4e749435596a0b793c4cec2875dc8f94f6352c53b9e5a8beaff4737233
MD5 166d489c988f1aa77242a9aa42157ea9
BLAKE2b-256 ed31fa1011f76ac0f00d85492f18f26a3b64e741eb8245cca817c163e7395bde

See more details on using hashes here.

File details

Details for the file abbrobotegm-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: abbrobotegm-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 16.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for abbrobotegm-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 037fb9f9373cc7fc8ccf9dc445e33295f566f3ec3c10fa55dc40ba4e69f87878
MD5 7990749167eaa5267f875236567d43b8
BLAKE2b-256 6293685dc22ff4d9c397a8517158a6d9cd206a9db7845918efc20e951bd7f5a4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page