New BCR Robot

https://github.com/blackcoffeerobotics/bcr_bot/assets/13151010/0fc570a3-c70c-415b-8222-b9573d5911c8

About

This repository contains a Gazebo simulation for a differential drive robot, equipped with an IMU, a depth camera, stereo camera and a 2D LiDAR. The primary contriution of this project is to support multiple ROS and Gazebo distros. Currently, the project supports the following versions -

1. ROS Noetic + Gazebo Classic 11 (branch ros1)
2. ROS2 Humble + Gazebo Classic 11 (branch ros2)
3. ROS2 Humble + Gazebo Fortress (branch ros2)

Each of the following sections describes depedencies, build and run instructions for each of the above combinations

Noetic + Classic (Ubuntu 20.04)

Dependencies

In addition to ROS1 Noetic and Gazebo Classic installations, the dependencies can be installed with rosdep

# From the root directory of the workspace. This will install everything mentioned in package.xml
rosdep install --from-paths src --ignore-src -r -y

Build

catkin build --packages-select bcr_bot

Run

To launch the robot in Gazebo,

roslaunch bcr_bot gazebo.launch

To view in rviz,

roslaunch bcr_bot rviz.launch

Configuration

The launch file accepts multiple launch arguments,

roslaunch bcr_bot gazebo.launch 
	camera_enabled:=True \
	two_d_lidar_enabled:=True \
	position_x:=0.0 \
	position_y:=0.0 \
	orientation_yaw:=0.0 \
	odometry_source:=world \
	world_file:=small_warehouse.world \
	robot_namespace:="bcr_bot"

Note: To use stereo_image_proc with the stereo images excute following command:

ROS_NAMESPACE=bcr_bot/stereo_camera rosrun stereo_image_proc stereo_image_proc

Humble + Classic (Ubuntu 22.04)

Dependencies

In addition to ROS2 Humble and Gazebo Classic installations, we need to manually install gazebo_ros_pkgs (since the same branch supports Classic and Fortress)

sudo apt-get install ros-humble-gazebo-ros-pkgs

Remainder of the dependencies can be installed with rosdep

# From the root directory of the workspace. This will install everything mentioned in package.xml
rosdep install --from-paths src --ignore-src -r -y

Build

colcon build --packages-select bcr_bot

Run

To launch the robot in Gazebo,

ros2 launch bcr_bot gazebo.launch.py

To view in rviz,

ros2 launch bcr_bot rviz.launch.py

Configuration

The launch file accepts multiple launch arguments,

ros2 launch bcr_bot gazebo.launch.py \
	camera_enabled:=True \
	two_d_lidar_enabled:=True \
	stereo_camera_enabled:=False \
	position_x:=0.0 \
	position_y:=0.0 \
	orientation_yaw:=0.0 \
	odometry_source:=world \
	world_file:=small_warehouse.sdf \
	robot_namespace:="bcr_bot"

Note: To use stereo_image_proc with the stereo images excute following command:

ros2 launch stereo_image_proc stereo_image_proc.launch.py left_namespace:=bcr_bot/stereo_camera/left right_namespace:=bcr_bot/stereo_camera/right

Humble + Fortress (Ubuntu 22.04)

Dependencies

In addition to ROS2 Humble and Gazebo Fortress installations, we need to manually install interfaces between ROS2 and Gazebo sim as follows,

sudo apt-get install ros-humble-ros-gz-sim ros-humble-ros-gz-bridge ros-humble-ros-gz-interfaces 

Remainder of the dependencies can be installed with rosdep

# From the root directory of the workspace. This will install everything mentioned in package.xml
rosdep install --from-paths src --ignore-src -r -y

Build

colcon build --packages-select bcr_bot

Run

To launch the robot in Gazebo,

ros2 launch bcr_bot gz.launch.py

To view in rviz,

ros2 launch bcr_bot rviz.launch.py

Configuration

The launch file accepts multiple launch arguments,

ros2 launch bcr_bot gz.launch.py \
	camera_enabled:=True \
	stereo_camera_enabled:=False \
	two_d_lidar_enabled:=True \
	position_x:=0.0 \
	position_y:=0.0  \
	orientation_yaw:=0.0 \
	odometry_source:=world \
	world_file:=small_warehouse.sdf

Note: To use stereo_image_proc with the stereo images excute following command:

ros2 launch stereo_image_proc stereo_image_proc.launch.py left_namespace:=bcr_bot/stereo_camera/left right_namespace:=bcr_bot/stereo_camera/right

Simulation and Visualization

1. Gz Sim (Ignition Gazebo) (small_warehouse World):

2. Rviz (Depth camera) (small_warehouse World):