Rhoban's Planning and Control library
QP-based task-space inverse kinematics and dynamics for robots.
Written in C++ for runtime performance, with Python bindings for fast prototyping.
Documentation · Getting started · Examples repository · Build from source · Paper
pip install placo
What is PlaCo?
PlaCo is Rhoban's planning and control library. It is built on top of pinocchio and the eiquadprog QP solver, and provides a high-level API to express whole-body control problems as a set of tasks and constraints, which are assembled into a quadratic program and solved for you.
Task-Space Inverse KinematicsSpecify tasks for constrained inverse kinematics (IK): frames, center of mass, joints, gears, wheels… |
Task-Space Inverse DynamicsSpecify tasks for constrained inverse dynamics (ID), including contacts, torque and velocity limits. |
Installation
PlaCo is distributed as a wheel for Linux and macOS (x86-64 and arm64), and requires Python 3.10 or later:
pip install placo
It can also be built from sources, which is required to use the C++ API.
A first taste
import numpy as np
import placo
# Load a robot and create the kinematics solver
robot = placo.RobotWrapper("models/6axis/")
solver = placo.KinematicsSolver(robot)
solver.mask_fbase(True) # the robot is anchored to the ground
# Ask the "effector" frame to reach a given pose
effector_task = solver.add_frame_task("effector", np.eye(4))
effector_task.configure("effector", "soft", 1.0, 1.0)
# Solve the IK, and integrate the result in the robot state
robot.update_kinematics()
solver.solve(True)
Head to the getting started guide for a walkthrough, or to the examples repository for runnable robots and scenarios.
Resources
- Documentation — guides and full API reference
- Examples repository — runnable demos, models and videos
- Paper — PlaCo: a QP-based robot planning and control framework
- Issues — bug reports and feature requests
Citation
If you use PlaCo in your research, please cite the following paper:
@misc{duclusaud2025placo,
title={PlaCo: a QP-based robot planning and control framework},
author={Marc Duclusaud and Grégoire Passault and Vincent Padois and Olivier Ly},
year={2025},
eprint={2511.06141},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2511.06141},
}
License
PlaCo is released under the MIT License.
1 maintainer
Release files for placo 0.9.25
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| placo-0.9.25.tar.gz | 140.8 kB | Details |
Built distributions (wheels)
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Transparency logRelease files / placo-0.9.25-0-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | placo-0.9.25-0-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 1.6 MB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / placo-0.9.25-0-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | placo-0.9.25-0-cp310-cp310-macosx_10_9_x86_64.whl |
|---|---|
| Size | 1.7 MB |
| Tags | CPython 3.10 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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9bbab524d5cd1143c5bf31ffe95cb80a2f64afe3852ee310b1d2297cebf3fff3
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Yes |
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twine/7.0.0 CPython/3.13.14
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Provenance
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