Source code for roboticstoolbox.models.ETS.XYPanda

#!/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 XYPanda(Robot): """ Create model of Franka-Emika Panda manipulator on an XY platform xypanda = XYPanda() creates a robot object representing the Franka-Emika Panda robot arm mounted on an XY platform. This robot is represented using the elementary transform sequence (ETS). ETS taken from [1] based on https://frankaemika.github.io/docs/control_parameters.html :references: - Kinematic Derivatives using the Elementary Transform Sequence, J. Haviland and P. Corke """ def __init__(self, workspace=5): """ Create model of Franka-Emika Panda manipulator on an XY platform. :param workspace: workspace limits in the x and y directions, defaults to 5 :type workspace: float, optional The XY part of the robot has a range -``workspace`` to ``workspace``. """ deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm lx = Link( ETS(ET.tx()), name="link-x", parent=None, qlim=[-workspace, workspace] ) ly = Link(ETS(ET.ty()), name="link-y", parent=lx, qlim=[-workspace, workspace]) l0 = Link(ET.tz(0.333) * ET.Rz(), name="link0", parent=ly) 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 = [lx, ly, l0, l1, l2, l3, l4, l5, l6, ee] super().__init__(elinks, name="XYPanda", manufacturer="Franka Emika") 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 = XYPanda() print(robot)