AIRWiki - User contributions [en]

PetDrone

2013-06-19T13:34:31Z

ZhizhongLi:

{{Project
| title=PetDrone
| short_descr=The goal of the project is to develop a drone able to interactive with people like a pet in some aspects.
| coordinator=AndreaBonarini
| tutor=AndreaBonarini
| students=ZhizhongLi
| resarea=Robotics
| restopic=Robot development
| start=4/04/2013
| end= 14/06/2013
| status=Closed
| level = Bs
}}

== Goal ==
The goal of this project is to develop a robotic pet, which means letting the drone behave like a pet in some aspects.

== Motivation ==
Create a interactive Robot based on AR.Drone.

== Useful readings ==

=== ROS ===
* ardrone driver [http://ros.org/wiki/ardrone_autonomy]

* gui controller, drone controller, and drone state estimation [http://www.ros.org/wiki/tum_ardrone]

* Interfacing ROS with OpenCV [http://www.ros.org/wiki/vision_opencv]

=== Object Detection ===
*OpenCV, Feature Detection(SIFT/SURF)[http://opencv.willowgarage.com/documentation/cpp/feature_detection.html]

* OpenCV, Object Detection[http://docs.opencv.org/doc/tutorials/objdetect/table_of_content_objdetect/table_of_content_objdetect.html#table-of-content-objdetect]

*Predator algorithm, TLD(Tracking-Learning-Detection)[http://personal.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html]

== Final result ==
Based on OpenCV, ROS and TLD algorithm, the AR.drone can detect multi objects and respond with the corresponding behaviors, as a pet. Following it's a detailed description:

Having learnt three objects (shoe, AIRLab trademark, and pizza box),

When the drone sees the shoe, it will take off.

When the drone sees the trademark of AIRLab it will dance.

When the drone sees the pizza box it will land.

PetDrone

2013-06-11T13:52:10Z

ZhizhongLi: /* Goal */

{{Project
| title=PetDrone
| short_descr=The goal of the project is to develop a drone able to interactive with people like a pet in some aspects.
| coordinator=AndreaBonarini
| tutor=AndreaBonarini
| students=ZhizhongLi
| resarea=Robotics
| restopic=Robot development
| start=4/04/2013
| end=
| status=Active
| level = Bs
}}

== Goal ==
The goal of this project is to develop a robotic pet, which means letting the drone behave like a pet in some aspects.

== Motivation ==
Create a interactive Robot based on AR.Drone.

== Useful readings ==

=== ROS ===
* ardrone driver [http://ros.org/wiki/ardrone_autonomy]

* gui controller, drone controller, and drone state estimation [http://www.ros.org/wiki/tum_ardrone]

* Interfacing ROS with OpenCV [http://www.ros.org/wiki/vision_opencv]

=== Object Detection ===
*OpenCV, Feature Detection(SIFT/SURF)[http://opencv.willowgarage.com/documentation/cpp/feature_detection.html]

* OpenCV, Object Detection[http://docs.opencv.org/doc/tutorials/objdetect/table_of_content_objdetect/table_of_content_objdetect.html#table-of-content-objdetect]

*Predator algorithm, TLD(Tracking-Learning-Detection)[http://personal.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html]

== Final result ==
Base on OpenCV, ROS and TLD algorithm, let the AR.drone can detect multi objects and response as a pet. Following it's detailed description,

When the drone see my shoe it will take off.

When the drone see the brand of AIRLab it will dance.

When the drone see the pizza it will land.

PetDrone

2013-06-11T13:51:25Z

ZhizhongLi: /* Motivation */

{{Project
| title=PetDrone
| short_descr=The goal of the project is to develop a drone able to interactive with people like a pet in some aspects.
| coordinator=AndreaBonarini
| tutor=AndreaBonarini
| students=ZhizhongLi
| resarea=Robotics
| restopic=Robot development
| start=4/04/2013
| end=
| status=Active
| level = Bs
}}

== Goal ==
The goal of this project is to develop a robot pet, which means letting the drone behave like a pet in some aspects.

== Motivation ==
Create a interactive Robot based on AR.Drone.

== Useful readings ==

=== ROS ===
* ardrone driver [http://ros.org/wiki/ardrone_autonomy]

* gui controller, drone controller, and drone state estimation [http://www.ros.org/wiki/tum_ardrone]

* Interfacing ROS with OpenCV [http://www.ros.org/wiki/vision_opencv]

=== Object Detection ===
*OpenCV, Feature Detection(SIFT/SURF)[http://opencv.willowgarage.com/documentation/cpp/feature_detection.html]

* OpenCV, Object Detection[http://docs.opencv.org/doc/tutorials/objdetect/table_of_content_objdetect/table_of_content_objdetect.html#table-of-content-objdetect]

*Predator algorithm, TLD(Tracking-Learning-Detection)[http://personal.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html]

== Final result ==
Base on OpenCV, ROS and TLD algorithm, let the AR.drone can detect multi objects and response as a pet. Following it's detailed description,

When the drone see my shoe it will take off.

When the drone see the brand of AIRLab it will dance.

When the drone see the pizza it will land.

PetDrone

2013-06-11T12:30:25Z

ZhizhongLi: /* Final result */

{{Project
| title=PetDrone
| short_descr=The goal of the project is to develop a drone able to interactive with people like a pet in some aspects.
| coordinator=AndreaBonarini
| tutor=AndreaBonarini
| students=ZhizhongLi
| resarea=Robotics
| restopic=Robot development
| start=4/04/2013
| end=
| status=Active
| level = Bs
}}

== Goal ==
The goal of this project is to develop a robot pet, which means letting the drone behave like a pet in some aspects.

== Motivation ==
Create a interactive Robogame based on AR.Drone.

== Useful readings ==

=== ROS ===
* ardrone driver [http://ros.org/wiki/ardrone_autonomy]

* gui controller, drone controller, and drone state estimation [http://www.ros.org/wiki/tum_ardrone]

* Interfacing ROS with OpenCV [http://www.ros.org/wiki/vision_opencv]

=== Object Detection ===
*OpenCV, Feature Detection(SIFT/SURF)[http://opencv.willowgarage.com/documentation/cpp/feature_detection.html]

* OpenCV, Object Detection[http://docs.opencv.org/doc/tutorials/objdetect/table_of_content_objdetect/table_of_content_objdetect.html#table-of-content-objdetect]

*Predator algorithm, TLD(Tracking-Learning-Detection)[http://personal.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html]

== Final result ==
Base on OpenCV, ROS and TLD algorithm, let the AR.drone can detect multi objects and response as a pet. Following it's detailed description,

When the drone see my shoe it will take off.

When the drone see the brand of AIRLab it will dance.

When the drone see the pizza it will land.

PetDrone

2013-06-11T12:30:11Z

ZhizhongLi:

{{Project
| title=PetDrone
| short_descr=The goal of the project is to develop a drone able to interactive with people like a pet in some aspects.
| coordinator=AndreaBonarini
| tutor=AndreaBonarini
| students=ZhizhongLi
| resarea=Robotics
| restopic=Robot development
| start=4/04/2013
| end=
| status=Active
| level = Bs
}}

== Goal ==
The goal of this project is to develop a robot pet, which means letting the drone behave like a pet in some aspects.

== Motivation ==
Create a interactive Robogame based on AR.Drone.

== Useful readings ==

=== ROS ===
* ardrone driver [http://ros.org/wiki/ardrone_autonomy]

* gui controller, drone controller, and drone state estimation [http://www.ros.org/wiki/tum_ardrone]

* Interfacing ROS with OpenCV [http://www.ros.org/wiki/vision_opencv]

=== Object Detection ===
*OpenCV, Feature Detection(SIFT/SURF)[http://opencv.willowgarage.com/documentation/cpp/feature_detection.html]

* OpenCV, Object Detection[http://docs.opencv.org/doc/tutorials/objdetect/table_of_content_objdetect/table_of_content_objdetect.html#table-of-content-objdetect]

*Predator algorithm, TLD(Tracking-Learning-Detection)[http://personal.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html]

== Final result ==
Base on OpenCV, ROS and TLD algorithm, let the AR.drone can detect multi objects and response as a pet. Following it's detailed description,

When the drone see my shoe it will take off.
When the drone see the brand of AIRLab it will dance.
When the drone see the pizza it will land.

PetDrone

2013-05-22T14:00:58Z