Source code for roboticstoolbox.models.ETS.Frankie

#!/usr/bin/env python

import numpy as np
from roboticstoolbox.robot.ET import ET
from roboticstoolbox.robot.ETS import ETS
from roboticstoolbox.robot.Robot import Robot
from roboticstoolbox.robot.Link import Link


[docs]class Frankie(Robot): """ A class representing the Franka Emika Panda robot arm. ETS taken from [1] based on https://frankaemika.github.io/docs/control_parameters.html :param et_list: List of elementary transforms which represent the robot kinematics :type et_list: list of etb.robot.et :param q_idx: List of indexes within the ets_list which correspond to joints :type q_idx: list of int :param name: Name of the robot :type name: str, optional :param manufacturer: Manufacturer of the robot :type manufacturer: str, optional :param base: Location of the base is the world frame :type base: float np.ndarray(4,4), optional :param tool: Offset of the flange of the robot to the end-effector :type tool: float np.ndarray(4,4), optional :param qz: The zero joint angle configuration of the robot :type qz: float np.ndarray(7,) :param qr: The ready state joint angle configuration of the robot :type qr: float np.ndarray(7,) References: [1] Kinematic Derivatives using the Elementary Transform Sequence, J. Haviland and P. Corke """ def __init__(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm b0 = Link(ETS(ET.Rz()), name="base0", parent=None) b1 = Link(ETS(ET.tx()), name="base1", parent=b0) l0 = Link(ET.tz(0.333) * ET.Rz(), name="link0", parent=b1) l1 = Link(ET.Rx(-90 * deg) * ET.Rz(), name="link1", parent=l0) l2 = Link(ET.Rx(90 * deg) * ET.tz(0.316) * ET.Rz(), name="link2", parent=l1) l3 = Link(ET.tx(0.0825) * ET.Rx(90 * deg) * ET.Rz(), name="link3", parent=l2) l4 = Link( ET.tx(-0.0825) * ET.Rx(-90 * deg) * ET.tz(0.384) * ET.Rz(), name="link4", parent=l3, ) l5 = Link(ET.Rx(90 * deg) * ET.Rz(), name="link5", parent=l4) l6 = Link( ET.tx(0.088) * ET.Rx(90 * deg) * ET.tz(0.107) * ET.Rz(), name="link6", parent=l5, ) ee = Link(ET.tz(tool_offset) * ET.Rz(-np.pi / 4), name="ee", parent=l6) elinks = [b0, b1, l0, l1, l2, l3, l4, l5, l6, ee] super(Frankie, self).__init__( elinks, name="Frankie", manufacturer="Franka Emika, Omron", keywords=("mobile",), ) self.qr = np.array([0, 0, 0, -0.3, 0, -2.2, 0, 2.0, np.pi / 4]) self.qz = np.zeros(9) self.addconfiguration("qr", self.qr) self.addconfiguration("qz", self.qz)
if __name__ == "__main__": # pragma nocover robot = Frankie() print(robot)