# Copyright (c) 2022-2025, The Isaac Lab Project Developers.
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause

import torch
import weakref

import omni.log
import omni.physics.tensors.impl.api as physx

import isaaclab.utils.math as math_utils
from isaaclab.utils.buffers import TimestampedBuffer


[docs]class ArticulationData:
    """Data container for an articulation.

    This class contains the data for an articulation in the simulation. The data includes the state of
    the root rigid body, the state of all the bodies in the articulation, and the joint state. The data is
    stored in the simulation world frame unless otherwise specified.

    An articulation is comprised of multiple rigid bodies or links. For a rigid body, there are two frames
    of reference that are used:

    - Actor frame: The frame of reference of the rigid body prim. This typically corresponds to the Xform prim
      with the rigid body schema.
    - Center of mass frame: The frame of reference of the center of mass of the rigid body.

    Depending on the settings, the two frames may not coincide with each other. In the robotics sense, the actor frame
    can be interpreted as the link frame.
    """

    def __init__(self, root_physx_view: physx.ArticulationView, device: str):
        """Initializes the articulation data.

        Args:
            root_physx_view: The root articulation view.
            device: The device used for processing.
        """
        # Set the parameters
        self.device = device
        # Set the root articulation view
        # note: this is stored as a weak reference to avoid circular references between the asset class
        #  and the data container. This is important to avoid memory leaks.
        self._root_physx_view: physx.ArticulationView = weakref.proxy(root_physx_view)

        # Set initial time stamp
        self._sim_timestamp = 0.0

        # Obtain global physics sim view
        self._physics_sim_view = physx.create_simulation_view("torch")
        self._physics_sim_view.set_subspace_roots("/")
        gravity = self._physics_sim_view.get_gravity()
        # Convert to direction vector
        gravity_dir = torch.tensor((gravity[0], gravity[1], gravity[2]), device=self.device)
        gravity_dir = math_utils.normalize(gravity_dir.unsqueeze(0)).squeeze(0)

        # Initialize constants
        self.GRAVITY_VEC_W = gravity_dir.repeat(self._root_physx_view.count, 1)
        self.FORWARD_VEC_B = torch.tensor((1.0, 0.0, 0.0), device=self.device).repeat(self._root_physx_view.count, 1)

        # Initialize history for finite differencing
        self._previous_joint_vel = self._root_physx_view.get_dof_velocities().clone()

        # Initialize the lazy buffers.
        self._root_state_w = TimestampedBuffer()
        self._root_link_state_w = TimestampedBuffer()
        self._root_com_state_w = TimestampedBuffer()
        self._body_state_w = TimestampedBuffer()
        self._body_link_state_w = TimestampedBuffer()
        self._body_com_state_w = TimestampedBuffer()
        self._body_acc_w = TimestampedBuffer()
        self._joint_pos = TimestampedBuffer()
        self._joint_acc = TimestampedBuffer()
        self._joint_vel = TimestampedBuffer()

    def update(self, dt: float):
        # update the simulation timestamp
        self._sim_timestamp += dt
        # Trigger an update of the joint acceleration buffer at a higher frequency
        # since we do finite differencing.
        self.joint_acc

    ##
    # Names.
    ##

    body_names: list[str] = None
    """Body names in the order parsed by the simulation view."""

    joint_names: list[str] = None
    """Joint names in the order parsed by the simulation view."""

    fixed_tendon_names: list[str] = None
    """Fixed tendon names in the order parsed by the simulation view."""

    ##
    # Defaults - Initial state.
    ##

    default_root_state: torch.Tensor = None
    """Default root state ``[pos, quat, lin_vel, ang_vel]`` in the local environment frame. Shape is (num_instances, 13).

    The position and quaternion are of the articulation root's actor frame. Meanwhile, the linear and angular
    velocities are of its center of mass frame.

    This quantity is configured through the :attr:`isaaclab.assets.ArticulationCfg.init_state` parameter.
    """

    default_joint_pos: torch.Tensor = None
    """Default joint positions of all joints. Shape is (num_instances, num_joints).

    This quantity is configured through the :attr:`isaaclab.assets.ArticulationCfg.init_state` parameter.
    """

    default_joint_vel: torch.Tensor = None
    """Default joint velocities of all joints. Shape is (num_instances, num_joints).

    This quantity is configured through the :attr:`isaaclab.assets.ArticulationCfg.init_state` parameter.
    """

    ##
    # Defaults - Physical properties.
    ##

    default_mass: torch.Tensor = None
    """Default mass for all the bodies in the articulation. Shape is (num_instances, num_bodies).

    This quantity is parsed from the USD schema at the time of initialization.
    """

    default_inertia: torch.Tensor = None
    """Default inertia for all the bodies in the articulation. Shape is (num_instances, num_bodies, 9).

    The inertia is the inertia tensor relative to the center of mass frame. The values are stored in
    the order :math:`[I_{xx}, I_{xy}, I_{xz}, I_{yx}, I_{yy}, I_{yz}, I_{zx}, I_{zy}, I_{zz}]`.

    This quantity is parsed from the USD schema at the time of initialization.
    """

    default_joint_stiffness: torch.Tensor = None
    """Default joint stiffness of all joints. Shape is (num_instances, num_joints).

    This quantity is configured through the actuator model's :attr:`isaaclab.actuators.ActuatorBaseCfg.stiffness`
    parameter. If the parameter's value is None, the value parsed from the USD schema, at the time of initialization,
    is used.

    .. attention::
        The default stiffness is the value configured by the user or the value parsed from the USD schema.
        It should not be confused with :attr:`joint_stiffness`, which is the value set into the simulation.
    """

    default_joint_damping: torch.Tensor = None
    """Default joint damping of all joints. Shape is (num_instances, num_joints).

    This quantity is configured through the actuator model's :attr:`isaaclab.actuators.ActuatorBaseCfg.damping`
    parameter. If the parameter's value is None, the value parsed from the USD schema, at the time of initialization,
    is used.

    .. attention::
        The default stiffness is the value configured by the user or the value parsed from the USD schema.
        It should not be confused with :attr:`joint_damping`, which is the value set into the simulation.
    """

    default_joint_armature: torch.Tensor = None
    """Default joint armature of all joints. Shape is (num_instances, num_joints).

    This quantity is configured through the actuator model's :attr:`isaaclab.actuators.ActuatorBaseCfg.armature`
    parameter. If the parameter's value is None, the value parsed from the USD schema, at the time of initialization,
    is used.
    """

    default_joint_friction_coeff: torch.Tensor = None
    """Default joint friction coefficient of all joints. Shape is (num_instances, num_joints).

    This quantity is configured through the actuator model's :attr:`isaaclab.actuators.ActuatorBaseCfg.friction`
    parameter. If the parameter's value is None, the value parsed from the USD schema, at the time of initialization,
    is used.
    """

    default_joint_pos_limits: torch.Tensor = None
    """Default joint position limits of all joints. Shape is (num_instances, num_joints, 2).

    The limits are in the order :math:`[lower, upper]`. They are parsed from the USD schema at the time of initialization.
    """

    default_fixed_tendon_stiffness: torch.Tensor = None
    """Default tendon stiffness of all tendons. Shape is (num_instances, num_fixed_tendons).

    This quantity is parsed from the USD schema at the time of initialization.
    """

    default_fixed_tendon_damping: torch.Tensor = None
    """Default tendon damping of all tendons. Shape is (num_instances, num_fixed_tendons).

    This quantity is parsed from the USD schema at the time of initialization.
    """

    default_fixed_tendon_limit_stiffness: torch.Tensor = None
    """Default tendon limit stiffness of all tendons. Shape is (num_instances, num_fixed_tendons).

    This quantity is parsed from the USD schema at the time of initialization.
    """

    default_fixed_tendon_rest_length: torch.Tensor = None
    """Default tendon rest length of all tendons. Shape is (num_instances, num_fixed_tendons).

    This quantity is parsed from the USD schema at the time of initialization.
    """

    default_fixed_tendon_offset: torch.Tensor = None
    """Default tendon offset of all tendons. Shape is (num_instances, num_fixed_tendons).

    This quantity is parsed from the USD schema at the time of initialization.
    """

    default_fixed_tendon_pos_limits: torch.Tensor = None
    """Default tendon position limits of all tendons. Shape is (num_instances, num_fixed_tendons, 2).

    The position limits are in the order :math:`[lower, upper]`. They are parsed from the USD schema at the time of
    initialization.
    """

    ##
    # Joint commands -- Set into simulation.
    ##

    joint_pos_target: torch.Tensor = None
    """Joint position targets commanded by the user. Shape is (num_instances, num_joints).

    For an implicit actuator model, the targets are directly set into the simulation.
    For an explicit actuator model, the targets are used to compute the joint torques (see :attr:`applied_torque`),
    which are then set into the simulation.
    """

    joint_vel_target: torch.Tensor = None
    """Joint velocity targets commanded by the user. Shape is (num_instances, num_joints).

    For an implicit actuator model, the targets are directly set into the simulation.
    For an explicit actuator model, the targets are used to compute the joint torques (see :attr:`applied_torque`),
    which are then set into the simulation.
    """

    joint_effort_target: torch.Tensor = None
    """Joint effort targets commanded by the user. Shape is (num_instances, num_joints).

    For an implicit actuator model, the targets are directly set into the simulation.
    For an explicit actuator model, the targets are used to compute the joint torques (see :attr:`applied_torque`),
    which are then set into the simulation.
    """

    ##
    # Joint commands -- Explicit actuators.
    ##

    computed_torque: torch.Tensor = None
    """Joint torques computed from the actuator model (before clipping). Shape is (num_instances, num_joints).

    This quantity is the raw torque output from the actuator mode, before any clipping is applied.
    It is exposed for users who want to inspect the computations inside the actuator model.
    For instance, to penalize the learning agent for a difference between the computed and applied torques.
    """

    applied_torque: torch.Tensor = None
    """Joint torques applied from the actuator model (after clipping). Shape is (num_instances, num_joints).

    These torques are set into the simulation, after clipping the :attr:`computed_torque` based on the
    actuator model.
    """

    ##
    # Joint properties.
    ##

    joint_stiffness: torch.Tensor = None
    """Joint stiffness provided to the simulation. Shape is (num_instances, num_joints).

    In the case of explicit actuators, the value for the corresponding joints is zero.
    """

    joint_damping: torch.Tensor = None
    """Joint damping provided to the simulation. Shape is (num_instances, num_joints)

    In the case of explicit actuators, the value for the corresponding joints is zero.
    """

    joint_armature: torch.Tensor = None
    """Joint armature provided to the simulation. Shape is (num_instances, num_joints)."""

    joint_friction_coeff: torch.Tensor = None
    """Joint friction coefficient provided to the simulation. Shape is (num_instances, num_joints)."""

    joint_pos_limits: torch.Tensor = None
    """Joint position limits provided to the simulation. Shape is (num_instances, num_joints, 2).

    The limits are in the order :math:`[lower, upper]`.
    """

    joint_vel_limits: torch.Tensor = None
    """Joint maximum velocity provided to the simulation. Shape is (num_instances, num_joints)."""

    joint_effort_limits: torch.Tensor = None
    """Joint maximum effort provided to the simulation. Shape is (num_instances, num_joints)."""

    ##
    # Joint properties - Custom.
    ##

    soft_joint_pos_limits: torch.Tensor = None
    r"""Soft joint positions limits for all joints. Shape is (num_instances, num_joints, 2).

    The limits are in the order :math:`[lower, upper]`.The soft joint position limits are computed as
    a sub-region of the :attr:`joint_pos_limits` based on the
    :attr:`~isaaclab.assets.ArticulationCfg.soft_joint_pos_limit_factor` parameter.

    Consider the joint position limits :math:`[lower, upper]` and the soft joint position limits
    :math:`[soft_lower, soft_upper]`. The soft joint position limits are computed as:

    .. math::

        soft\_lower = (lower + upper) / 2 - factor * (upper - lower) / 2
        soft\_upper = (lower + upper) / 2 + factor * (upper - lower) / 2

    The soft joint position limits help specify a safety region around the joint limits. It isn't used by the
    simulation, but is useful for learning agents to prevent the joint positions from violating the limits.
    """

    soft_joint_vel_limits: torch.Tensor = None
    """Soft joint velocity limits for all joints. Shape is (num_instances, num_joints).

    These are obtained from the actuator model. It may differ from :attr:`joint_vel_limits` if the actuator model
    has a variable velocity limit model. For instance, in a variable gear ratio actuator model.
    """

    gear_ratio: torch.Tensor = None
    """Gear ratio for relating motor torques to applied Joint torques. Shape is (num_instances, num_joints)."""

    ##
    # Fixed tendon properties.
    ##

    fixed_tendon_stiffness: torch.Tensor = None
    """Fixed tendon stiffness provided to the simulation. Shape is (num_instances, num_fixed_tendons)."""

    fixed_tendon_damping: torch.Tensor = None
    """Fixed tendon damping provided to the simulation. Shape is (num_instances, num_fixed_tendons)."""

    fixed_tendon_limit_stiffness: torch.Tensor = None
    """Fixed tendon limit stiffness provided to the simulation. Shape is (num_instances, num_fixed_tendons)."""

    fixed_tendon_rest_length: torch.Tensor = None
    """Fixed tendon rest length provided to the simulation. Shape is (num_instances, num_fixed_tendons)."""

    fixed_tendon_offset: torch.Tensor = None
    """Fixed tendon offset provided to the simulation. Shape is (num_instances, num_fixed_tendons)."""

    fixed_tendon_pos_limits: torch.Tensor = None
    """Fixed tendon position limits provided to the simulation. Shape is (num_instances, num_fixed_tendons, 2)."""

    ##
    # Properties.
    ##

    @property
    def root_state_w(self):
        """Root state ``[pos, quat, lin_vel, ang_vel]`` in simulation world frame. Shape is (num_instances, 13).

        The position and quaternion are of the articulation root's actor frame relative to the world. Meanwhile,
        the linear and angular velocities are of the articulation root's center of mass frame.
        """
        if self._root_state_w.timestamp < self._sim_timestamp:
            # read data from simulation
            pose = self._root_physx_view.get_root_transforms().clone()
            pose[:, 3:7] = math_utils.convert_quat(pose[:, 3:7], to="wxyz")
            velocity = self._root_physx_view.get_root_velocities()
            # set the buffer data and timestamp
            self._root_state_w.data = torch.cat((pose, velocity), dim=-1)
            self._root_state_w.timestamp = self._sim_timestamp
        return self._root_state_w.data

    @property
    def root_link_state_w(self):
        """Root state ``[pos, quat, lin_vel, ang_vel]`` in simulation world frame. Shape is (num_instances, 13).

        The position, quaternion, and linear/angular velocity are of the articulation root's actor frame relative to the
        world.
        """
        if self._root_link_state_w.timestamp < self._sim_timestamp:
            # read data from simulation
            pose = self._root_physx_view.get_root_transforms().clone()
            pose[:, 3:7] = math_utils.convert_quat(pose[:, 3:7], to="wxyz")
            velocity = self._root_physx_view.get_root_velocities().clone()

            # adjust linear velocity to link from center of mass
            velocity[:, :3] += torch.linalg.cross(
                velocity[:, 3:], math_utils.quat_rotate(pose[:, 3:7], -self.com_pos_b[:, 0, :]), dim=-1
            )
            # set the buffer data and timestamp
            self._root_link_state_w.data = torch.cat((pose, velocity), dim=-1)
            self._root_link_state_w.timestamp = self._sim_timestamp

        return self._root_link_state_w.data

    @property
    def root_com_state_w(self):
        """Root center of mass state ``[pos, quat, lin_vel, ang_vel]`` in simulation world frame. Shape is (num_instances, 13).

        The position, quaternion, and linear/angular velocity are of the articulation root link's center of mass frame
        relative to the world. Center of mass frame is assumed to be the same orientation as the link rather than the
        orientation of the principle inertia.
        """
        if self._root_com_state_w.timestamp < self._sim_timestamp:
            # read data from simulation (pose is of link)
            pose = self._root_physx_view.get_root_transforms().clone()
            pose[:, 3:7] = math_utils.convert_quat(pose[:, 3:7], to="wxyz")
            velocity = self._root_physx_view.get_root_velocities()

            # adjust pose to center of mass
            pos, quat = math_utils.combine_frame_transforms(
                pose[:, :3], pose[:, 3:7], self.com_pos_b[:, 0, :], self.com_quat_b[:, 0, :]
            )
            pose = torch.cat((pos, quat), dim=-1)
            # set the buffer data and timestamp
            self._root_com_state_w.data = torch.cat((pose, velocity), dim=-1)
            self._root_com_state_w.timestamp = self._sim_timestamp
        return self._root_com_state_w.data

    @property
    def body_state_w(self):
        """State of all bodies `[pos, quat, lin_vel, ang_vel]` in simulation world frame.
        Shape is (num_instances, num_bodies, 13).

        The position and quaternion are of all the articulation links's actor frame. Meanwhile, the linear and angular
        velocities are of the articulation links's center of mass frame.
        """

        if self._body_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation
            poses = self._root_physx_view.get_link_transforms().clone()
            poses[..., 3:7] = math_utils.convert_quat(poses[..., 3:7], to="wxyz")
            velocities = self._root_physx_view.get_link_velocities()
            # set the buffer data and timestamp
            self._body_state_w.data = torch.cat((poses, velocities), dim=-1)
            self._body_state_w.timestamp = self._sim_timestamp
        return self._body_state_w.data

    @property
    def body_link_state_w(self):
        """State of all bodies' link frame`[pos, quat, lin_vel, ang_vel]` in simulation world frame.
        Shape is (num_instances, num_bodies, 13).

        The position, quaternion, and linear/angular velocity are of the body's link frame relative to the world.
        """
        if self._body_link_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation
            pose = self._root_physx_view.get_link_transforms().clone()
            pose[..., 3:7] = math_utils.convert_quat(pose[..., 3:7], to="wxyz")
            velocity = self._root_physx_view.get_link_velocities()

            # adjust linear velocity to link from center of mass
            velocity[..., :3] += torch.linalg.cross(
                velocity[..., 3:], math_utils.quat_rotate(pose[..., 3:7], -self.com_pos_b), dim=-1
            )
            # set the buffer data and timestamp
            self._body_link_state_w.data = torch.cat((pose, velocity), dim=-1)
            self._body_link_state_w.timestamp = self._sim_timestamp

        return self._body_link_state_w.data

    @property
    def body_com_state_w(self):
        """State of all bodies center of mass `[pos, quat, lin_vel, ang_vel]` in simulation world frame.
        Shape is (num_instances, num_bodies, 13).

        The position, quaternion, and linear/angular velocity are of the body's center of mass frame relative to the
        world. Center of mass frame is assumed to be the same orientation as the link rather than the orientation of the
        principle inertia.
        """
        if self._body_com_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation (pose is of link)
            pose = self._root_physx_view.get_link_transforms().clone()
            pose[..., 3:7] = math_utils.convert_quat(pose[..., 3:7], to="wxyz")
            velocity = self._root_physx_view.get_link_velocities()

            # adjust pose to center of mass
            pos, quat = math_utils.combine_frame_transforms(
                pose[..., :3], pose[..., 3:7], self.com_pos_b, self.com_quat_b
            )
            pose = torch.cat((pos, quat), dim=-1)
            # set the buffer data and timestamp
            self._body_com_state_w.data = torch.cat((pose, velocity), dim=-1)
            self._body_com_state_w.timestamp = self._sim_timestamp
        return self._body_com_state_w.data

    @property
    def body_acc_w(self):
        """Acceleration of all bodies (center of mass). Shape is (num_instances, num_bodies, 6).

        All values are relative to the world.
        """
        if self._body_acc_w.timestamp < self._sim_timestamp:
            # read data from simulation and set the buffer data and timestamp
            self._body_acc_w.data = self._root_physx_view.get_link_accelerations()

            self._body_acc_w.timestamp = self._sim_timestamp
        return self._body_acc_w.data

    @property
    def projected_gravity_b(self):
        """Projection of the gravity direction on base frame. Shape is (num_instances, 3)."""
        return math_utils.quat_rotate_inverse(self.root_link_quat_w, self.GRAVITY_VEC_W)

    @property
    def heading_w(self):
        """Yaw heading of the base frame (in radians). Shape is (num_instances,).

        Note:
            This quantity is computed by assuming that the forward-direction of the base
            frame is along x-direction, i.e. :math:`(1, 0, 0)`.
        """
        forward_w = math_utils.quat_apply(self.root_link_quat_w, self.FORWARD_VEC_B)
        return torch.atan2(forward_w[:, 1], forward_w[:, 0])

    @property
    def joint_pos(self):
        """Joint positions of all joints. Shape is (num_instances, num_joints)."""
        if self._joint_pos.timestamp < self._sim_timestamp:
            # read data from simulation and set the buffer data and timestamp
            self._joint_pos.data = self._root_physx_view.get_dof_positions()
            self._joint_pos.timestamp = self._sim_timestamp
        return self._joint_pos.data

    @property
    def joint_vel(self):
        """Joint velocities of all joints. Shape is (num_instances, num_joints)."""
        if self._joint_vel.timestamp < self._sim_timestamp:
            # read data from simulation and set the buffer data and timestamp
            self._joint_vel.data = self._root_physx_view.get_dof_velocities()
            self._joint_vel.timestamp = self._sim_timestamp
        return self._joint_vel.data

    @property
    def joint_acc(self):
        """Joint acceleration of all joints. Shape is (num_instances, num_joints)."""
        if self._joint_acc.timestamp < self._sim_timestamp:
            # note: we use finite differencing to compute acceleration
            time_elapsed = self._sim_timestamp - self._joint_acc.timestamp
            self._joint_acc.data = (self.joint_vel - self._previous_joint_vel) / time_elapsed
            self._joint_acc.timestamp = self._sim_timestamp
            # update the previous joint velocity
            self._previous_joint_vel[:] = self.joint_vel
        return self._joint_acc.data

    ##
    # Derived properties.
    ##

    @property
    def root_pos_w(self) -> torch.Tensor:
        """Root position in simulation world frame. Shape is (num_instances, 3).

        This quantity is the position of the actor frame of the articulation root relative to the world.
        """
        return self.root_state_w[:, :3]

    @property
    def root_quat_w(self) -> torch.Tensor:
        """Root orientation (w, x, y, z) in simulation world frame. Shape is (num_instances, 4).

        This quantity is the orientation of the actor frame of the articulation root relative to the world.
        """
        return self.root_state_w[:, 3:7]

    @property
    def root_vel_w(self) -> torch.Tensor:
        """Root velocity in simulation world frame. Shape is (num_instances, 6).

        This quantity contains the linear and angular velocities of the articulation root's center of mass frame
        relative to the world.
        """
        return self.root_state_w[:, 7:13]

    @property
    def root_lin_vel_w(self) -> torch.Tensor:
        """Root linear velocity in simulation world frame. Shape is (num_instances, 3).

        This quantity is the linear velocity of the articulation root's center of mass frame relative to the world.
        """
        return self.root_state_w[:, 7:10]

    @property
    def root_ang_vel_w(self) -> torch.Tensor:
        """Root angular velocity in simulation world frame. Shape is (num_instances, 3).

        This quantity is the angular velocity of the articulation root's center of mass frame relative to the world.
        """
        return self.root_state_w[:, 10:13]

    @property
    def root_lin_vel_b(self) -> torch.Tensor:
        """Root linear velocity in base frame. Shape is (num_instances, 3).

        This quantity is the linear velocity of the articulation root's center of mass frame relative to the world
        with respect to the articulation root's actor frame.
        """
        return math_utils.quat_rotate_inverse(self.root_quat_w, self.root_lin_vel_w)

    @property
    def root_ang_vel_b(self) -> torch.Tensor:
        """Root angular velocity in base world frame. Shape is (num_instances, 3).

        This quantity is the angular velocity of the articulation root's center of mass frame relative to the world with
        respect to the articulation root's actor frame.
        """
        return math_utils.quat_rotate_inverse(self.root_quat_w, self.root_ang_vel_w)

    ##
    # Derived Root Link Frame Properties
    ##

    @property
    def root_link_pos_w(self) -> torch.Tensor:
        """Root link position in simulation world frame. Shape is (num_instances, 3).

        This quantity is the position of the actor frame of the root rigid body relative to the world.
        """
        if self._root_link_state_w.timestamp < self._sim_timestamp:
            # read data from simulation (pose is of link)
            pose = self._root_physx_view.get_root_transforms()
            return pose[:, :3]
        return self.root_link_state_w[:, :3]

    @property
    def root_link_quat_w(self) -> torch.Tensor:
        """Root link orientation (w, x, y, z) in simulation world frame. Shape is (num_instances, 4).

        This quantity is the orientation of the actor frame of the root rigid body.
        """
        if self._root_link_state_w.timestamp < self._sim_timestamp:
            # read data from simulation (pose is of link)
            pose = self._root_physx_view.get_root_transforms().clone()
            pose[:, 3:7] = math_utils.convert_quat(pose[:, 3:7], to="wxyz")
            return pose[:, 3:7]
        return self.root_link_state_w[:, 3:7]

    @property
    def root_link_vel_w(self) -> torch.Tensor:
        """Root link velocity in simulation world frame. Shape is (num_instances, 6).

        This quantity contains the linear and angular velocities of the actor frame of the root
        rigid body relative to the world.
        """
        return self.root_link_state_w[:, 7:13]

    @property
    def root_link_lin_vel_w(self) -> torch.Tensor:
        """Root linear velocity in simulation world frame. Shape is (num_instances, 3).

        This quantity is the linear velocity of the root rigid body's actor frame relative to the world.
        """
        return self.root_link_state_w[:, 7:10]

    @property
    def root_link_ang_vel_w(self) -> torch.Tensor:
        """Root link angular velocity in simulation world frame. Shape is (num_instances, 3).

        This quantity is the angular velocity of the actor frame of the root rigid body relative to the world.
        """
        return self.root_link_state_w[:, 10:13]

    @property
    def root_link_lin_vel_b(self) -> torch.Tensor:
        """Root link linear velocity in base frame. Shape is (num_instances, 3).

        This quantity is the linear velocity of the actor frame of the root rigid body frame with respect to the
        rigid body's actor frame.
        """
        return math_utils.quat_rotate_inverse(self.root_link_quat_w, self.root_link_lin_vel_w)

    @property
    def root_link_ang_vel_b(self) -> torch.Tensor:
        """Root link angular velocity in base world frame. Shape is (num_instances, 3).

        This quantity is the angular velocity of the actor frame of the root rigid body frame with respect to the
        rigid body's actor frame.
        """
        return math_utils.quat_rotate_inverse(self.root_link_quat_w, self.root_link_ang_vel_w)

    ##
    # Root Center of Mass state properties
    ##

    @property
    def root_com_pos_w(self) -> torch.Tensor:
        """Root center of mass position in simulation world frame. Shape is (num_instances, 3).

        This quantity is the position of the actor frame of the root rigid body relative to the world.
        """
        return self.root_com_state_w[:, :3]

    @property
    def root_com_quat_w(self) -> torch.Tensor:
        """Root center of mass orientation (w, x, y, z) in simulation world frame. Shape is (num_instances, 4).

        This quantity is the orientation of the actor frame of the root rigid body relative to the world.
        """
        return self.root_com_state_w[:, 3:7]

    @property
    def root_com_vel_w(self) -> torch.Tensor:
        """Root center of mass velocity in simulation world frame. Shape is (num_instances, 6).

        This quantity contains the linear and angular velocities of the root rigid body's center of mass frame relative to the world.
        """
        if self._root_com_state_w.timestamp < self._sim_timestamp:
            # read data from simulation (pose is of link)
            velocity = self._root_physx_view.get_root_velocities()
            return velocity
        return self.root_com_state_w[:, 7:13]

    @property
    def root_com_lin_vel_w(self) -> torch.Tensor:
        """Root center of mass linear velocity in simulation world frame. Shape is (num_instances, 3).

        This quantity is the linear velocity of the root rigid body's center of mass frame relative to the world.
        """
        if self._root_com_state_w.timestamp < self._sim_timestamp:
            # read data from simulation (pose is of link)
            velocity = self._root_physx_view.get_root_velocities()
            return velocity[:, 0:3]
        return self.root_com_state_w[:, 7:10]

    @property
    def root_com_ang_vel_w(self) -> torch.Tensor:
        """Root center of mass angular velocity in simulation world frame. Shape is (num_instances, 3).

        This quantity is the angular velocity of the root rigid body's center of mass frame relative to the world.
        """
        if self._root_com_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation (pose is of link)
            velocity = self._root_physx_view.get_root_velocities()
            return velocity[:, 3:6]
        return self.root_com_state_w[:, 10:13]

    @property
    def root_com_lin_vel_b(self) -> torch.Tensor:
        """Root center of mass linear velocity in base frame. Shape is (num_instances, 3).

        This quantity is the linear velocity of the root rigid body's center of mass frame with respect to the
        rigid body's actor frame.
        """
        return math_utils.quat_rotate_inverse(self.root_link_quat_w, self.root_com_lin_vel_w)

    @property
    def root_com_ang_vel_b(self) -> torch.Tensor:
        """Root center of mass angular velocity in base world frame. Shape is (num_instances, 3).

        This quantity is the angular velocity of the root rigid body's center of mass frame with respect to the
        rigid body's actor frame.
        """
        return math_utils.quat_rotate_inverse(self.root_link_quat_w, self.root_com_ang_vel_w)

    @property
    def body_pos_w(self) -> torch.Tensor:
        """Positions of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the position of the rigid bodies' actor frame relative to the world.
        """
        return self.body_state_w[..., :3]

    @property
    def body_quat_w(self) -> torch.Tensor:
        """Orientation (w, x, y, z) of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 4).

        This quantity is the orientation of the rigid bodies' actor frame relative to the world.
        """
        return self.body_state_w[..., 3:7]

    @property
    def body_vel_w(self) -> torch.Tensor:
        """Velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 6).

        This quantity contains the linear and angular velocities of the rigid bodies' center of mass frame relative
        to the world.
        """
        return self.body_state_w[..., 7:13]

    @property
    def body_lin_vel_w(self) -> torch.Tensor:
        """Linear velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the linear velocity of the rigid bodies' center of mass frame relative to the world.
        """
        return self.body_state_w[..., 7:10]

    @property
    def body_ang_vel_w(self) -> torch.Tensor:
        """Angular velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the angular velocity of the rigid bodies' center of mass frame relative to the world.
        """
        return self.body_state_w[..., 10:13]

    @property
    def body_lin_acc_w(self) -> torch.Tensor:
        """Linear acceleration of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the linear acceleration of the rigid bodies' center of mass frame relative to the world.
        """
        return self.body_acc_w[..., 0:3]

    @property
    def body_ang_acc_w(self) -> torch.Tensor:
        """Angular acceleration of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the angular acceleration of the rigid bodies' center of mass frame relative to the world.
        """
        return self.body_acc_w[..., 3:6]

    ##
    # Link body properties
    ##

    @property
    def body_link_pos_w(self) -> torch.Tensor:
        """Positions of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the position of the rigid bodies' actor frame relative to the world.
        """
        if self._body_link_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation
            pose = self._root_physx_view.get_link_transforms()
            return pose[..., :3]
        return self._body_link_state_w.data[..., :3]

    @property
    def body_link_quat_w(self) -> torch.Tensor:
        """Orientation (w, x, y, z) of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 4).

        This quantity is the orientation of the rigid bodies' actor frame  relative to the world.
        """
        if self._body_link_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation
            pose = self._root_physx_view.get_link_transforms().clone()
            pose[..., 3:7] = math_utils.convert_quat(pose[..., 3:7], to="wxyz")
            return pose[..., 3:7]
        return self.body_link_state_w[..., 3:7]

    @property
    def body_link_vel_w(self) -> torch.Tensor:
        """Velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 6).

        This quantity contains the linear and angular velocities of the rigid bodies' center of mass frame
        relative to the world.
        """
        return self.body_link_state_w[..., 7:13]

    @property
    def body_link_lin_vel_w(self) -> torch.Tensor:
        """Linear velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the linear velocity of the rigid bodies' center of mass frame relative to the world.
        """
        return self.body_link_state_w[..., 7:10]

    @property
    def body_link_ang_vel_w(self) -> torch.Tensor:
        """Angular velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the angular velocity of the rigid bodies' center of mass frame relative to the world.
        """
        return self.body_link_state_w[..., 10:13]

    ##
    # Center of mass body properties
    ##

    @property
    def body_com_pos_w(self) -> torch.Tensor:
        """Positions of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the position of the rigid bodies' actor frame.
        """
        return self.body_com_state_w[..., :3]

    @property
    def body_com_quat_w(self) -> torch.Tensor:
        """Orientation (w, x, y, z) of the prinicple axies of inertia of all bodies in simulation world frame.

        Shape is (num_instances, num_bodies, 4). This quantity is the orientation of the rigid bodies' actor frame.
        """
        return self.body_com_state_w[..., 3:7]

    @property
    def body_com_vel_w(self) -> torch.Tensor:
        """Velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 6).

        This quantity contains the linear and angular velocities of the rigid bodies' center of mass frame.
        """
        if self._body_com_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation (velocity is of com)
            velocity = self._root_physx_view.get_link_velocities()
            return velocity
        return self.body_com_state_w[..., 7:13]

    @property
    def body_com_lin_vel_w(self) -> torch.Tensor:
        """Linear velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the linear velocity of the rigid bodies' center of mass frame.
        """
        if self._body_com_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation (velocity is of com)
            velocity = self._root_physx_view.get_link_velocities()
            return velocity[..., 0:3]
        return self.body_com_state_w[..., 7:10]

    @property
    def body_com_ang_vel_w(self) -> torch.Tensor:
        """Angular velocity of all bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the angular velocity of the rigid bodies' center of mass frame.
        """
        if self._body_com_state_w.timestamp < self._sim_timestamp:
            self._physics_sim_view.update_articulations_kinematic()
            # read data from simulation (velocity is of com)
            velocity = self._root_physx_view.get_link_velocities()
            return velocity[..., 3:6]
        return self.body_com_state_w[..., 10:13]

    @property
    def com_pos_b(self) -> torch.Tensor:
        """Center of mass of all of the bodies in simulation world frame. Shape is (num_instances, num_bodies, 3).

        This quantity is the center of mass location relative to its body frame.
        """
        return self._root_physx_view.get_coms().to(self.device)[..., :3]

    @property
    def com_quat_b(self) -> torch.Tensor:
        """Orientation (w,x,y,z) of the principle axies of inertia of all of the bodies in simulation world frame. Shape is (num_instances, num_bodies, 4).

        This quantity is the orientation of the principles axes of inertia relative to its body frame.
        """
        quat = self._root_physx_view.get_coms().to(self.device)[..., 3:7]
        return math_utils.convert_quat(quat, to="wxyz")

    ##
    # Backward compatibility.
    ##

    @property
    def joint_limits(self) -> torch.Tensor:
        """Deprecated property. Please use :attr:`joint_pos_limits` instead."""
        omni.log.warn(
            "The `joint_limits` property will be deprecated in a future release. Please use `joint_pos_limits` instead."
        )
        return self.joint_pos_limits

    @property
    def default_joint_limits(self) -> torch.Tensor:
        """Deprecated property. Please use :attr:`default_joint_pos_limits` instead."""
        omni.log.warn(
            "The `default_joint_limits` property will be deprecated in a future release. Please use"
            " `default_joint_pos_limits` instead."
        )
        return self.default_joint_pos_limits

    @property
    def joint_velocity_limits(self) -> torch.Tensor:
        """Deprecated property. Please use :attr:`joint_vel_limits` instead."""
        omni.log.warn(
            "The `joint_velocity_limits` property will be deprecated in a future release. Please use"
            " `joint_vel_limits` instead."
        )
        return self.joint_vel_limits

    @property
    def joint_friction(self) -> torch.Tensor:
        """Deprecated property. Please use :attr:`joint_friction_coeff` instead."""
        omni.log.warn(
            "The `joint_friction` property will be deprecated in a future release. Please use"
            " `joint_friction_coeff` instead."
        )
        return self.joint_friction_coeff

    @property
    def default_joint_friction(self) -> torch.Tensor:
        """Deprecated property. Please use :attr:`default_joint_friction_coeff` instead."""
        omni.log.warn(
            "The `default_joint_friction` property will be deprecated in a future release. Please use"
            " `default_joint_friction_coeff` instead."
        )
        return self.default_joint_friction_coeff

    @property
    def fixed_tendon_limit(self) -> torch.Tensor:
        """Deprecated property. Please use :attr:`fixed_tendon_pos_limits` instead."""
        omni.log.warn(
            "The `fixed_tendon_limit` property will be deprecated in a future release. Please use"
            " `fixed_tendon_pos_limits` instead."
        )
        return self.fixed_tendon_pos_limits

    @property
    def default_fixed_tendon_limit(self) -> torch.Tensor:
        """Deprecated property. Please use :attr:`default_fixed_tendon_pos_limits` instead."""
        omni.log.warn(
            "The `default_fixed_tendon_limit` property will be deprecated in a future release. Please use"
            " `default_fixed_tendon_pos_limits` instead."
        )
        return self.default_fixed_tendon_pos_limits