Post 9: Week 4 Labs

• Pointcloud:

  • In lab4 we ran the depth/point cloud visualization demo and were able to see an accurate reconstruction of the room in front of the camera. This feature will be useful for us to implement navigation for moving objects between landmarks.

• ArUco Marker:

  • In lab4, we put a marker on the table for the destination so the robot can find the marker and move there. And we tried to move the marker in the table and see if the robot could follow the marker properly or not. And it works well. This is useful since it allows stretch to easily identify where to put objects.

• Object Detection:

  • In lab4, we used the object detection feature to detect objects that can be commonly found in the kitchen. This is useful since Stretch can recognize what objects are the ones it is supposed to move.