{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Pick up test\n", "This example will show a simple pickup test in addition to the TF Broadcaster to visualize the result in rviz. \n", "This should be usable inside a binderhub using webviz\n", "\n" ], "id": "caee925fbec69e2f" }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bulletworld" ], "id": "7ccb3b66cb8fba5e" }, { "cell_type": "code", "execution_count": null, "outputs": [], "source": [ "from rospy import get_param\n", "from pycram.bullet_world import BulletWorld, Object\n", "from pycram.pose import Pose\n", "\n", "from pycram.process_module import simulated_robot, with_simulated_robot\n", "from pycram.language import macros, par\n", "from pycram.designators.location_designator import *\n", "from pycram.designators.action_designator import *\n", "from pycram.enums import Arms\n", "from pycram.designators.object_designator import *\n", "from pycram.designators.object_designator import BelieveObject\n", "from pycram.plan_failures import IKError\n", "import math\n", "\n", "try:\n", " robot = get_param('/nbparam_robot')\n", " environment = get_param('/nbparam_environment')\n", "except Exception as e:\n", " robot = 'pr2'\n", " environment = 'kitchen'\n", " \n", "print(f\"Robot: {robot}\")\n", "print(f\"Environment: {environment}\")\n", "\n", "# With Bulletworld\n", "world = BulletWorld()\n", "\n", "# Without Bulletworld (use rviz instead)\n", "world = BulletWorld('DIRECT')" ], "metadata": { "collapsed": false }, "id": "78e92ab8" }, { "cell_type": "markdown", "source": [ "## Robot" ], "metadata": { "collapsed": false }, "id": "221afda8aa837b03" }, { "cell_type": "code", "execution_count": null, "outputs": [], "source": [ "robot = Object(\"pr2\", \"robot\", robot + \".urdf\")\n", "robot_desig = ObjectDesignatorDescription(names=[\"pr2\"]).resolve()" ], "metadata": { "collapsed": false }, "id": "c30dad53f0748438" }, { "cell_type": "markdown", "source": [ "## Create Objects" ], "metadata": { "collapsed": false }, "id": "1d853d1918f5621" }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "milk = Object(\"milk\", \"milk\", \"milk.stl\", pose=Pose([2, 0, 1]))\n", "milk_BO = BelieveObject(names=[\"milk\"])" ], "id": "dc2ee8cda121f29a" }, { "cell_type": "markdown", "source": [ "## TF Broadcaster" ], "metadata": { "collapsed": false }, "id": "1a81217f4138801e" }, { "cell_type": "code", "execution_count": null, "outputs": [], "source": [ "from pycram.ros.tf_broadcaster import TFBroadcaster\n", "from pycram.ros.joint_state_publisher import JointStatePublisher\n", "from pycram.ros.viz_marker_publisher import VizMarkerPublisher\n", "\n", "broadcaster = TFBroadcaster()\n", "joint_publisher = JointStatePublisher(\"joint_states\", 0.1)\n", "#v = VizMarkerPublisher(topic_name='viz_marker')" ], "metadata": { "collapsed": false }, "id": "ce80da8da7aeb4c9" }, { "cell_type": "markdown", "source": [ "## Navigate to Object" ], "metadata": { "collapsed": false }, "id": "63ceaf3d00d4d51c" }, { "cell_type": "code", "execution_count": null, "outputs": [], "source": [ "with simulated_robot:\n", " ParkArmsAction([Arms.BOTH]).resolve().perform()\n", "\n", " MoveTorsoAction([0.33]).resolve().perform()\n", "\n", " pickup_pose_knife = CostmapLocation(target=milk_BO.resolve(), reachable_for=robot_desig).resolve()\n", " pickup_arm = pickup_pose_knife.reachable_arms[0]\n", "\n", " NavigateAction(target_locations=[pickup_pose_knife.pose]).resolve().perform()" ], "metadata": { "collapsed": false }, "id": "32f7278da4161468" }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Perform the Pickup action" ], "id": "9aa2490929d38ebd" }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with simulated_robot:\n", " PickUpAction(object_designator_description=milk_BO,\n", " arms=[\"left\"],\n", " grasps=[\"left\", \"right\"]).resolve().perform()" ], "id": "51e3d71cefcfd346" } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }