Skip to main content

Derivatives for MuJoCo

Project description

Numerical derivatives of dynamics for mujoco

Forked from https://github.com/wecacuee/mujoco_py_deriv

  • Needs mujoco licence to run.
  • Wraps derivative.cpp to call from Python.

Installation

  1. Install mujoco_py
  2. pip install mujoco-py-derivatives

Usage

Prepare mujoco model.

import mujoco_py as mj
from mujoco_py_derivatives import MjDerivative, checkderiv

# Prepare mujoco model and data
model = mj.load_model_from_path("flat_pusher_sample.xml")
sim = mj.MjSim(model, nsubsteps=nstep)
dmain = sim.data

Compute numerical derivative

# To compute δf/δx
f = ["qacc"]
x = ["qfrc_applied", "qvel", "qpos"]
deriv_obj = MjDerivative(model, dmain, f, x)
deriv = deriv_obj.compute()

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

mujoco-py-derivatives-0.1.4.tar.gz (153.3 kB view hashes)

Uploaded Source

Supported by

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