The contains demos, classes, tools and data for the humanoid robot Romeo from Aldebaran.

Demos:

Detection

• Face detection using OpenCV Haar cascade.
• Face detection and Recognition using the OKAO Vision library (ALFaceDetection naoqi module).
• Color based object detection.

Servoing

• Face tracking and servoing of head and eyes to center it on the image.
• Blobs tracking and servoing head and eyes to center it on the image.

Grasping

Gras_box:

• Aim of the demo is grasp a box and to deliver it to an human. Here the steps of the demo:
• Detect and track a box by color information.
• Use keypoints to detect and estimate the pose of the box (with know cad model).
• Track the box using the model-based tracker.
• Grasp of the box.
• Detect person and deliver the box.

Classes:

• Face detection (OpenCV library).
• QR-Code detection (zbar library).
• Servo arm and Servo head class.
• Localization object with know model.
• Detection object from color information (with learning color phase).

Software information

• Release date: Oct, 2014
• Author: G. Claudio, F. Spindler
• Maintainer: G. Claudio, F. Spindler
• Source: https://github.com/lagadic/romeo_tk
• License: BSD