SPACE

This repository contains the ROS package that implements the works from the algorithm "SPACE: 3D Spatial Co-operation and Exploration Framework for Robust Mapping and Coverage with Multi-Robot Systems". The following figure shows the conceptual overview of SPACE:

Publication/Citation

If you use this work, please cite our paper: Preprint available at

Experiemental Demonstration and Video

Video.mp4

1. Requirements & Environment Setup

The package has been tested on both ROS Noetic for both simulated and hardware Turtlebot3 robot (waffle) & Turtlebot2 (2e and 2i). The following requirements are needed before installing the package:

1. ROS Installation: You should have installed a ROS distribution (Noetic) on Ubuntu 20.04.

2. Workspace Creation: Make sure you have created a ROS workspace. You can follow the ROS tutorial to do this.

3. **Install rtabmap & kimera-multi ROS Packages **: Install the rtabmap and kimera-multi package with the following command:

   sudo apt-get install ros-noetic-rtabmap-ros
   mkdir -p catkin_ws/src
   cd catkin_ws/src/
   git clone [email protected]:MIT-SPARK/Kimera-Multi.git kimera_multi
   sudo bash kimera_multi/install/dependencies.sh
   vcs import . --input kimera_multi/kimera_multi.repos --recursive
   cd ..
   catkin config -a --cmake-args -DCMAKE_BUILD_TYPE=RelWithDebInfo -DGTSAM_TANGENT_PREINTEGRATION=OFF -DGTSAM_BUILD_WITH_MARCH_NATIVE=OFF -DOPENGV_BUILD_WITH_MARCH_NATIVE=OFF
   catkin build --continue -s

4. Install ROS Navigation Stack: You can install the ROS navigation stack using the following command:

   sudo apt-get install ros-noetic-navigation

5. Python Modules Installation: Make sure python version is 3.8+. Install the following Python modules using pip:

   pip install numpy pandas matplotlib open3d opencv-python scikit-learn

6. Turtlebot3 Installation:

   cd ~/catkin_ws/src/
   git clone https://github.com/ROBOTIS-GIT/turtlebot3_simulations.git
   echo "export TURTLEBOT3_MODEL=waffle" >> ~/.bashrc
   source ~/.bashrc
   sudo apt-get install ros-noetic-turtlebot3*

7. AWS Gazebo Worlds Installation:

   cd ~/catkin_ws/src/
   https://github.com/aws-robotics/aws-robomaker-small-house-world.git
   https://github.com/aws-robotics/aws-robomaker-bookstore-world.git

8. Move_Base Navigation:

   sudo apt-get install ros-$ROS_noetic-move-base

9. Environment Initialization:

   cd ~/catkin_ws/src/
   git clone https://github.com/herolab-uga/SPACE-MAP.git
   catkin_make
   source devel/setup.bash

ROS Nodes

• Gazebo Simulation: Launches simulation environments like AWS house or bookstore (mentioned in .launch files).
• Robot State Publisher: Publishes robot state from URDF at a frequency of 100 Hz.
• Model Spawner: Places TurtleBot3 models in Gazebo at specified coordinates.
• RTAB-Map SLAM: SLAM system using RGB-D input, operates at specified frequencies and saves data to a path.
• RGBD Synchronization: Synchronizes RGB and depth images for SLAM with adjustable settings.
• RTAB-Map Visualization: Visualization node for RTAB-Map outputs and odometry.
• Dynamic Robot Filters: The Dynamic Robot Filters subsribes to global odometry and filters the dynamic feature for mapping.
• Map Merger: Merge all the grid maps with unknown init positions
• Move Base: Manages path planning and navigation using local and global costmaps.
• Spatial Map Merger: Combines spatial maps from individual robots into a comprehensive global map.
• Frontier Assigner: Assigns exploration tasks to robots based on predefined rates.

ROS Topics

robot_namespace = {tb3_0, tb3_1, tb3_2, tb3_3, tb3_4, tb3_5} target_name = namespace of robots which is in field-of-view

• ${robot_namespace}/odom: Provides odometry data.
• ${robot_namespace}/cmd_vel: Issues velocity commands.
• ${robot_namespace}/cloud_map: Outputs RTABMap individual maps.
• ${robot_namespace}/scan: Laser scan data for navigation.
• ${robot_namespace}/camera/rgb/image_raw & /camera/depth/image_raw: Image streams from robot cameras.
• ${robot_namespace}/camera/rgb/camera_info: Metadata for the RGB cameras.
• {robot_namespace}/move_base: Each Robot Move Base server for navigation
• /total_cloud_map: Outputs spatial merged map.
• /total_map: Outputs merged 2D grid map.
• /frontier_marker: 3D & 2D Spatial Frontiers
• /{target_name}/masker/masked_image_raw: Features are masked and republished for mapping.

Launch

afsd

```bash
roslaunch <package_name> 3_house.launch
```

Contributions

• Sai Krishna Ghanta - PhD Candidate
• Dr. Ramviyas Parasuraman - Lab Director

Heterogeneous Robotics Lab

School of Computing, University of Georgia.

For further information, please contact Dr. Ramviyas Parasuraman at [email protected].