Source code for adam.jax.computations

# Copyright (C) Istituto Italiano di Tecnologia (IIT). All rights reserved.

import warnings

import jax.numpy as jnp
import numpy as np

from adam.core.constants import Representations
from adam.core.rbd_algorithms import RBDAlgorithms
from adam.jax.jax_like import SpatialMath
from adam.model import Model, URDFModelFactory


[docs] class KinDynComputations: """This is a small class that retrieves robot quantities using Jax for Floating Base systems.""" def __init__( self, urdfstring: str, joints_name_list: list = None, root_link: str = None, gravity: np.array = jnp.array([0, 0, -9.80665, 0, 0, 0]), ) -> None: """ Args: urdfstring (str): either path or string of the urdf joints_name_list (list): list of the actuated joints root_link (str, optional): Deprecated. The root link is automatically chosen as the link with no parent in the URDF. Defaults to None. """ math = SpatialMath() factory = URDFModelFactory(path=urdfstring, math=math) model = Model.build(factory=factory, joints_name_list=joints_name_list)
[docs] self.rbdalgos = RBDAlgorithms(model=model, math=math)
[docs] self.NDoF = self.rbdalgos.NDoF
[docs] self.g = gravity
if root_link is not None: warnings.warn( "The root_link argument is not used. The root link is automatically chosen as the link with no parent in the URDF", DeprecationWarning, stacklevel=2, )
[docs] def set_frame_velocity_representation( self, representation: Representations ) -> None: """Sets the representation of the velocity of the frames Args: representation (Representations): The representation of the velocity """ self.rbdalgos.set_frame_velocity_representation(representation)
[docs] def mass_matrix(self, base_transform: jnp.array, joint_positions: jnp.array): """Returns the Mass Matrix functions computed the CRBA Args: base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position Returns: M (jnp.array): Mass Matrix """ [M, _] = self.rbdalgos.crba(base_transform, joint_positions) return M.array
[docs] def centroidal_momentum_matrix( self, base_transform: jnp.array, joint_positions: jnp.array ): """Returns the Centroidal Momentum Matrix functions computed the CRBA Args: base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position Returns: Jcc (jnp.array): Centroidal Momentum matrix """ [_, Jcm] = self.rbdalgos.crba(base_transform, joint_positions) return Jcm.array
[docs] def relative_jacobian(self, frame: str, joint_positions: jnp.array): """Returns the Jacobian between the root link and a specified frame frames Args: frame (str): The tip of the chain joint_positions (jnp.array): The joints position Returns: J (jnp.array): The Jacobian between the root and the frame """ return self.rbdalgos.relative_jacobian(frame, joint_positions).array
[docs] def jacobian_dot( self, frame: str, base_transform: jnp.array, joint_positions: jnp.array, base_velocity: jnp.array, joint_velocities: jnp.array, ) -> jnp.array: """Returns the Jacobian derivative relative to the specified frame Args: frame (str): The frame to which the jacobian will be computed base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position base_velocity (jnp.array): The base velocity joint_velocities (jnp.array): The joint velocities Returns: Jdot (jnp.array): The Jacobian derivative relative to the frame """ return self.rbdalgos.jacobian_dot( frame, base_transform, joint_positions, base_velocity, joint_velocities ).array
[docs] def forward_kinematics( self, frame: str, base_transform: jnp.array, joint_positions: jnp.array ): """Computes the forward kinematics relative to the specified frame Args: frame (str): The frame to which the fk will be computed base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position Returns: H (jnp.array): The fk represented as Homogenous transformation matrix """ return self.rbdalgos.forward_kinematics( frame, base_transform, joint_positions ).array
[docs] def jacobian( self, frame: str, base_transform: jnp.array, joint_positions: jnp.array ): """Returns the Jacobian relative to the specified frame Args: base_transform (jnp.array): The homogenous transform from base to world frame s (jnp.array): The joints position frame (str): The frame to which the jacobian will be computed Returns: J_tot (jnp.array): The Jacobian relative to the frame """ return self.rbdalgos.jacobian(frame, base_transform, joint_positions).array
[docs] def bias_force( self, base_transform: jnp.array, joint_positions: jnp.array, base_velocity: jnp.array, joint_velocities: jnp.array, ) -> jnp.array: """Returns the bias force of the floating-base dynamics equation, using a reduced RNEA (no acceleration and external forces) Args: base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position base_velocity (jnp.array): The base velocity joint_velocities (jnp.array): The joints velocity Returns: h (jnp.array): the bias force """ return self.rbdalgos.rnea( base_transform, joint_positions, base_velocity, joint_velocities, self.g ).array.squeeze()
[docs] def coriolis_term( self, base_transform: jnp.array, joint_positions: jnp.array, base_velocity: jnp.array, joint_velocities: jnp.array, ) -> jnp.array: """Returns the coriolis term of the floating-base dynamics equation, using a reduced RNEA (no acceleration and external forces) Args: base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position base_velocity (jnp.array): The base velocity joint_velocities (jnp.array): The joints velocity Returns: C (jnp.array): the Coriolis term """ return self.rbdalgos.rnea( base_transform, joint_positions, base_velocity.reshape(6, 1), joint_velocities, np.zeros(6), ).array.squeeze()
[docs] def gravity_term( self, base_transform: jnp.array, joint_positions: jnp.array ) -> jnp.array: """Returns the gravity term of the floating-base dynamics equation, using a reduced RNEA (no acceleration and external forces) Args: base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position Returns: G (jnp.array): the gravity term """ return self.rbdalgos.rnea( base_transform, joint_positions, np.zeros(6).reshape(6, 1), np.zeros(self.NDoF), self.g, ).array.squeeze()
[docs] def CoM_position( self, base_transform: jnp.array, joint_positions: jnp.array ) -> jnp.array: """Returns the CoM position Args: base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position Returns: CoM (jnp.array): The CoM position """ return self.rbdalgos.CoM_position( base_transform, joint_positions ).array.squeeze()
[docs] def CoM_jacobian( self, base_transform: jnp.array, joint_positions: jnp.array ) -> jnp.array: """Returns the CoM Jacobian Args: base_transform (jnp.array): The homogenous transform from base to world frame joint_positions (jnp.array): The joints position Returns: Jcom (jnp.array): The CoM Jacobian """ return self.rbdalgos.CoM_jacobian( base_transform, joint_positions ).array.squeeze()
[docs] def get_total_mass(self) -> float: """Returns the total mass of the robot Returns: mass: The total mass """ return self.rbdalgos.get_total_mass()