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A library for Rigid Body Transformations

Project description

DeepMind Robotics Transformations

Transformations is a pure python library for rigid-body transformations including velocities and forces.

The objectives for this library are simplicity and comprehensiveness across all canonical representations (euler, axis-angle, quaternion, homogeneous matrices).

Supported conversions:

  • Quaternion to Rotation matrix, Axis-angle and Euler-angle
  • Axis-angle to Quaternion, Rotation matrix and Euler-angle
  • Rotation matrix to Quaternion, Axis-angle and Euler-angle
  • Euler-angle to Quaternion, Rotation matrix and Axis-angle

Quaternions:

Quaternions are represented with the scalar part (w) first, e.g.

identity_quaternion = np.asarray([1, 0, 0, 0])  # w, i, j, k

Supported quaternion operations:

  • Difference
  • Distance
  • Multiplication
  • Inverse
  • Conjugate
  • Logarithm and Exponent
  • Slerp (spherical linear interpolation)
  • Rotation of a vector by a quaternion.

Euler-angles

All 24 from-euler orderings are supported. 7 of 24 to-euler orderings are supported.

Transforms

This library supports force and velocity transforms.

Usage Example

from dm_robotics.transformations import transformations as tr

# Convert a pose, euler angle into a homogeneous matrix (a 4x4 matrix):
hmat = tr.poseuler_to_hmat(
        np.array([x, y, z, rot_x, rot_y, rot_z]), 'XYZ')

# Convert the homogeneous matrix to a twist (a 6 vector):
twist = tr.hmat_to_twist(hmat)

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