Go2Py/examples/02-MuJoCo-sim.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lowlevel Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Go2Py.sim.mujoco import Go2Sim\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "robot = Go2Sim(mode='lowlevel')\n",
    "robot.standUpReset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "robot.getJointStates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mujoco\n",
    "import time\n",
    "robot.standUpReset()\n",
    "for i in range(100000):\n",
    "    state = robot.getJointStates()\n",
    "    tau = 20*np.eye(12)@(robot.q0 - state['q']).reshape(12,1)\n",
    "    robot.setCommands(np.zeros(12), np.zeros(12), np.zeros(12), np.zeros(12), tau)\n",
    "    robot.step()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Highlevel Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Go2Py.sim.mujoco import Go2Sim\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "robot = Go2Sim(mode='highlevel')\n",
    "robot.standUpReset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "robot.standUpReset\n",
    "for i in range(10000):\n",
    "    robot.step(0,0,0., step_height=0,kp=[2, 0.5, 0.5], ki=[0.02, 0.01, 0.01])\n",
    "    time.sleep(robot.dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "robot.getLaserScan()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mujoco\n",
    "mujoco.mjMAXVAL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "lidar = robot.getLaserScan(max_range=3.)\n",
    "idx = np.where(lidar['dist']!=-1)[0]\n",
    "plt.plot(lidar['dist'][idx])"
   ]
  }
 ],
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