Utility-based frontier exloration.
https://www.youtube.com/watch?v=YpDb5tQewAs
https://www.youtube.com/watch?v=MQJ5M0dEo20
https://www.youtube.com/watch?v=X4mQs9AEAl8
- Clone or download to local workspace and build them.
- Make sure the environment is sourced.
- Launch gazebo, then run nav_mapping and demo.py
- tested with ros kinetic
- skimage
roslaunch nav_demos/launch/gazebo.launch
roslaunch nav_demos/launch/nav_mapping.launch
rviz
rosrun my_frontier demo.py
- obtain a map (occupancy grid) and get candidates (frontiers) to be explored
- calculate the best goal to go/explore based on criteria including disance, information gain, and utility
- plan a path from the current pose to the goal
- move the robot and map the environment
- Gmapping is a 2D SLAM implemetation and only 2D map can be created
- Gmapping will be slow when the map grows large