Skip to content

Latest commit

 

History

History
68 lines (46 loc) · 1.69 KB

README.md

File metadata and controls

68 lines (46 loc) · 1.69 KB

Mobile robots playground

Repo contains experiments with mobile robots. Currently repo contains:

  • Simple Diff drive robot simulation with:
    • Lidar slam
    • RGLGazeboPlugin
  • Tracked vehicle simulation

How to set up

Clone repo with submodules:

  • git clone --recurse-submodules

To run in devcontainer you need to:

  1. Download NVidia OptiX 7.2.
  2. Add following to .bashrc export OptiX_INSTALL_DIR=<your-OptiX-path>.
  3. Open repo in the devcontainer via vscode .with devcontainer plugin.
  4. Run following commands.
colcon build && source install/setup.bash

export GZ_SIM_SYSTEM_PLUGIN_PATH=`pwd`/src/RGLGazeboPlugin/install/RGLServerPlugin:$GZ_SIM_SYSTEM_PLUGIN_PATH
export GZ_GUI_PLUGIN_PATH=`pwd`/src/RGLGazeboPlugin/install/RGLVisualize:$GZ_GUI_PLUGIN_PATH

How to run diffdrive simulation with lidar slam

In the first terminal run:

ros2 launch diffdrive_bringup diffdrive_bringup.launch.py use_lidar_slam:=True

In the third terminal:

ros2 run teleop_twist_keyboard teleop_twist_keyboard

To save the map use:

ros2 service call /map_save std_srvs/Empty

Results of mapping with lidar slam

Input point cloud from the RGLPlugin The map

How to run tracked vehicle simulation

Just build the whole project or following packages with packages-select option:

  • tracked_vehicle_interfaces
  • tracked_vehicle_simulation
  • tracks_controller

Run simulation with

ros2 launch tracked_vehicle_simulation tracked_vehicle_bringup.launch.py

Tracked vehicle simulation

Tracked vehicle simulation