Create a ROS2 Python node that:
- Gets TF transformations for obstacles (obstacle_0, obstacle_1, etc.)
- Transforms these obstacles to LaserScan format (/scan topic)
- Allows setting obstacle size (default 0.2m)
The node should:
- Subscribe to TF transformations
- Detect all obstacle frames (obstacle_0, obstacle_1, etc.)
- Calculate the position of these obstacles relative to the robot's frame
- Convert these positions into fake laser scan points
- Publish these points as a LaserScan message on the /scan topic
- Allow configuration of the obstacle size (diameter)
This will make obstacles detected in the system appear in the laser scan data as if they were detected by the actual laser scanner.
Create a ROS2 Python node that:
The node should:
This will make obstacles detected in the system appear in the laser scan data as if they were detected by the actual laser scanner.