Computer Vision resources and packages for the Robocup@Home Competition.

To launch vision nodes, it is recommended to use the dockerfiles according to the computer's resources (CUDA):

Without cuda:

make vision.build
make vision.create
make vision.shell

With cuda:

make vision.build.cuda
make vision.create.cuda
make vision.shell

For the receptionist task, it was required to recognize people, identify empty seats from either chairs or couches and detect if a person is standing in front of a robot. Hence, two nodes where developed. One to perform person or object detection procedures and one for the face-recognition analysis. These functionalities where accessed through three services:

Person Detection

• Identifies faces and publishes points for arm to follow the largest face.
• Recieves name from service to save a face

Service topic: /vision/check_person

Face Recognition

• Identifies faces and publishes points for arm to follow the largest face.
• Recieves name from service to save a face

Service topic: /vision/new_name

Seat Finding

• Identifies faces and publishes points for arm to follow the largest face.
• Recieves name from service to save a face

Service topic: /vision/find_seat

Launch File

roslaunch vision receptionist.launch

For several tasks, it is necessary to identify a person and track their position. Hence a node was developed using YOLO and a REID model.

Service topic: /vision/change_person_tracker_state

Launch File

roslaunch vision tracking.launch FLIP_IMAGE:=false

For the GPSR task, there are several commands that require computer vision algorithms. Some involve identifying a person who meets a specific pose or shirt color, and some involving counting people who meet this criteria. Therefore, the person command node has several services for this commands. It uses YOLOv8 for person detection, Mediapipe for pose detection and a custom model for shirt color detection.

Person counting

Service topic (bool): /vision/start_counting Service topic (string): /vision/end_counting

Person finding

Service topic (string): /vision/find_pose

Shelf detection