Skip to main content

Python bindings for libfranka - Control Franka robots with Python

Project description

pylibfranka Installation and Usage Guide

This document provides comprehensive instructions for installing and using pylibfranka, a Python binding for libfranka that enables control of Franka Robotics robots.

Table of Contents

Installation

From PyPI (Recommended)

The easiest way to install pylibfranka is via pip. Pre-built wheels include all necessary dependencies.

pip install pylibfranka

Platform Compatibility

Ubuntu Version Supported Python Versions
20.04 (Focal) Python 3.9 only
22.04 (Jammy) Python 3.9, 3.10, 3.11, 3.12
24.04 (Noble) Python 3.9, 3.10, 3.11, 3.12

Note: Ubuntu 20.04 users must use Python 3.9 due to glibc compatibility requirements.

From Source

If you need to build from source (e.g., for development or unsupported platforms):

Prerequisites

  • Python 3.9 or newer
  • CMake 3.16 or newer
  • C++ compiler with C++17 support
  • Eigen3 development headers
  • Poco development headers

Disclaimer: If you are using the provided devcontainer, you can skip the prerequisites installation as they are already included in the container.

Installing Prerequisites on Ubuntu/Debian

sudo apt-get update
sudo apt-get install -y build-essential cmake libeigen3-dev libpoco-dev python3-dev

Build and Install

From the root folder, you can install pylibfranka using pip:

pip install .

This will install pylibfranka in your current Python environment.

Examples

pylibfranka comes with three example scripts that demonstrate how to use the library to control a Franka robot.

Joint Position Example

This example demonstrates how to use an external control loop with pylibfranka to move the robot joints.

To run the example:

cd examples
python3 joint_position_example.py --ip <robot_ip>

Where <robot_ip> is the IP address of your Franka robot. If not specified, it defaults to "localhost".

The active control example:

  • Sets collision behavior parameters
  • Starts joint position control with CartesianImpedance controller mode
  • Moves the robot using an external control loop
  • Performs a simple motion of selected joints

Print Robot State Example

This example shows how to read and display the complete state of the robot.

To run the example:

cd examples
python3 print_robot_state.py --ip <robot_ip> [--rate <rate>] [--count <count>]

Where:

  • --ip is the robot's IP address (defaults to "localhost")
  • --rate is the frequency at which to print the state in Hz (defaults to 0.5)
  • --count is the number of state readings to print (defaults to 1, use 0 for continuous)

The print robot state example:

  • Connects to the robot
  • Reads the complete robot state
  • Prints detailed information about:
    • Joint positions, velocities, and torques
    • End effector pose and velocities
    • External forces and torques
    • Robot mode and error states
    • Mass and inertia properties

Joint Impedance Control Example

This example demonstrates how to implement a joint impedance controller that renders a spring-damper system to move the robot through a sequence of target joint configurations.

To run the example:

cd examples
python3 joint_impedance_example.py --ip <robot_ip>

Where --ip is the robot's IP address (defaults to "localhost").

The joint impedance example:

  • Implements a minimum jerk trajectory generator for smooth joint motion
  • Uses a spring-damper system for compliant control
  • Moves through a sequence of predefined joint configurations:
    • Home position (slightly bent arm)
    • Extended arm pointing forward
    • Arm pointing to the right
    • Arm pointing to the left
    • Return to home position
  • Includes position holding with dwell time between movements
  • Compensates for Coriolis effects

And more control examples

There are more control examples to discover. All of them can be executed in a similar way:

cd examples
python3 other_example.py --ip <robot_ip>

Gripper Control Example

This example demonstrates how to control the Franka gripper, including homing, grasping, and reading gripper state.

To run the example:

cd examples
python3 move_gripper.py --robot_ip <robot_ip> [--width <width>] [--homing <0|1>] [--speed <speed>] [--force <force>]

Where:

  • --robot_ip is the robot's IP address (required)
  • --width is the object width to grasp in meters (defaults to 0.005)
  • --homing enables/disables gripper homing (0 or 1, defaults to 1)
  • --speed is the gripper speed (defaults to 0.1)
  • --force is the gripper force in N (defaults to 60)

The gripper example:

  • Connects to the gripper
  • Performs homing to estimate maximum grasping width
  • Reads and displays gripper state including:
    • Current width
    • Maximum width
    • Grasp status
    • Temperature
    • Timestamp
  • Attempts to grasp an object with specified parameters
  • Verifies successful grasping
  • Releases the object

Async Joint Position Control Example

You can also use the async API to control the robot in a low-rate fashion, e.g. 50Hz. This allows you to specify joint position setpoints without the need for a blocking loop.

cd examples
python3 async_position_control.py --ip <robot_ip> 

Project details


Download files

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

Source Distribution

pylibfranka-0.20.3.tar.gz (15.4 kB view details)

Uploaded Source

Built Distributions

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

pylibfranka-0.20.3-cp312-cp312-manylinux_2_34_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

pylibfranka-0.20.3-cp311-cp311-manylinux_2_34_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ x86-64

pylibfranka-0.20.3-cp310-cp310-manylinux_2_34_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ x86-64

pylibfranka-0.20.3-cp39-cp39-manylinux_2_31_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.31+ x86-64

File details

Details for the file pylibfranka-0.20.3.tar.gz.

File metadata

  • Download URL: pylibfranka-0.20.3.tar.gz
  • Upload date:
  • Size: 15.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pylibfranka-0.20.3.tar.gz
Algorithm Hash digest
SHA256 7468095ff678833d1e7a137d4c22dd1d9826dfc8e93e19d72fbd42c26f498858
MD5 86a53aa75d81afebfefc9197ddb1a996
BLAKE2b-256 2a8345eb2f9e22792783ebab5c59e688273c76de63f5a765bb0705d58e78c4d2

See more details on using hashes here.

Provenance

The following attestation bundles were made for pylibfranka-0.20.3.tar.gz:

Publisher: pylibfranka-wheels.yml on frankarobotics/libfranka

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pylibfranka-0.20.3-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pylibfranka-0.20.3-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 fedb90b74ce3031dd85f4ebc91e570ae630b8bc1ff832896a02e349b84231288
MD5 547298abdf238474eaca016ed6b8df9a
BLAKE2b-256 d84d5788dac9734c478de33cd317bab758610d451243f115bd42b0da44c82eb7

See more details on using hashes here.

Provenance

The following attestation bundles were made for pylibfranka-0.20.3-cp312-cp312-manylinux_2_34_x86_64.whl:

Publisher: pylibfranka-wheels.yml on frankarobotics/libfranka

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pylibfranka-0.20.3-cp311-cp311-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pylibfranka-0.20.3-cp311-cp311-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 f0a85a2dddac3f1860b27fd816edde7c302f017fd45a7cf3dfd6ab3932c34a9c
MD5 93aee01ac4e572063fe70fd22973e3d5
BLAKE2b-256 0e64672ff9c28ac4745505b76ae880657c3ec11501839a32793f537e8b7a52ac

See more details on using hashes here.

Provenance

The following attestation bundles were made for pylibfranka-0.20.3-cp311-cp311-manylinux_2_34_x86_64.whl:

Publisher: pylibfranka-wheels.yml on frankarobotics/libfranka

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pylibfranka-0.20.3-cp310-cp310-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pylibfranka-0.20.3-cp310-cp310-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 373e859269453ae90e3be49e138e584ad4f913b3847c4d090a2d39bf041b0a79
MD5 cb54208822c2b31a2d48718a5d3301c8
BLAKE2b-256 b6422e1066dcd34c1601ac24c7e20593cd79dac47f5bb2b6729c061069998e4b

See more details on using hashes here.

Provenance

The following attestation bundles were made for pylibfranka-0.20.3-cp310-cp310-manylinux_2_34_x86_64.whl:

Publisher: pylibfranka-wheels.yml on frankarobotics/libfranka

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pylibfranka-0.20.3-cp39-cp39-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for pylibfranka-0.20.3-cp39-cp39-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 bbc0cbda8cca5cada6147812570eee99dae3fbd3c98c6d0321e1cf4d7b5e623b
MD5 c722207b8a6f8ab8608306b9ffb0b458
BLAKE2b-256 cfe0329743ad2f2f487684e4a3d2258971deda4a0ce8f6aa7d56f84202e6e34f

See more details on using hashes here.

Provenance

The following attestation bundles were made for pylibfranka-0.20.3-cp39-cp39-manylinux_2_31_x86_64.whl:

Publisher: pylibfranka-wheels.yml on frankarobotics/libfranka

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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