Difference between revisions of "KartBot"

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  | start=20/04/2013
 
  | start=20/04/2013
 
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  | status=Closed
 
  | level = Ms
 
  | level = Ms
 
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The goal of the project is to develop a game totally inspired to Mario Kart Wii. It consists in a race among karts ([[I-Racer]]) where players can get strange weapons to obstacle their opponents trying to win the race.
 
The goal of the project is to develop a game totally inspired to Mario Kart Wii. It consists in a race among karts ([[I-Racer]]) where players can get strange weapons to obstacle their opponents trying to win the race.
  
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=== Videos ===
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{{#ev:youtube|H5Ey4OzfVS4}}
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*Presentation of the game [http://youtu.be/H5Ey4OzfVS4 External link]
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{{#ev:youtube|_A2gRRIlAe0}}
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*An actual race [http://youtu.be/_A2gRRIlAe0 External link]
  
 
=== Components ===
 
=== Components ===
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Single board computer used to implement intelligence, image processing and strategy. More information [http://hardkernel.com/main/products/prdt_info.php?g_code=G135341370451 here]. Our instance is running  [http://archlinuxarm.org/platforms/armv7/samsung/odroid-x ArchLinux ARM].
 
Single board computer used to implement intelligence, image processing and strategy. More information [http://hardkernel.com/main/products/prdt_info.php?g_code=G135341370451 here]. Our instance is running  [http://archlinuxarm.org/platforms/armv7/samsung/odroid-x ArchLinux ARM].
  
==== Wiicam (opponent kart recognition) ====
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==== WiiCam (opponent kart recognition) ====
Recognition of opponent kart is performed by wiicam, an IR camera mounted on Wii Remote. In its natural habitat is used to find out at most 4 infrared sources, usually mounted on wii bar, calculating Wii Remote position and orientations wrt them. In our scenario we have interfaced it to Arduino using this simple circuit [http://letsmakerobots.com/node/7752 circuit]  and we have mounted a wii bar in the back of the opponent kart.
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Recognition of opponent kart is performed by WiiCam, an IR camera mounted on Wii Remote. In its natural habitat is used to find out at most 4 infrared sources, usually mounted on WiiBar, calculating Wii Remote position and orientation wrt them. In our scenario we have interfaced it to Arduino using this simple  [http://letsmakerobots.com/node/7752 circuit]  and we have mounted a WiiBar in the back of the opponent kart.
  
 
=== Useful links ===
 
=== Useful links ===
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=== Thesis ===
 
=== Thesis ===
Our thesis will be available in pdf format via poliTesi after April 29, 2014.
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Our thesis is available in pdf format via poliTesi since April 29, 2014.

Latest revision as of 14:47, 24 June 2014

KartBot
Image of the project KartBot
Short Description: The goal of the project is to develop an interactive game between an autonomous robot and a remotely-controlled one, based on the metaphor of the game Mario Kart Wii.
Coordinator: AndreaBonarini (andrea.bonarini@polimi.it)
Tutor: AndreaBonarini (andrea.bonarini@polimi.it)
Collaborator:
Students: ElisaDui (dui.elisa@gmail.com), DavideTessaro (davide.tessaro@gmail.com)
Research Area: Robotics
Research Topic: Robogames
Start: 20/04/2013
End: 20/04/2014
Status: Closed
Level: Ms

The goal of the project is to develop a game totally inspired to Mario Kart Wii. It consists in a race among karts (I-Racer) where players can get strange weapons to obstacle their opponents trying to win the race.

Videos



Components

Arduino

We use Arduino Micro board either to manage sensors and to implement low level control:

O-Droid

Single board computer used to implement intelligence, image processing and strategy. More information here. Our instance is running ArchLinux ARM.

WiiCam (opponent kart recognition)

Recognition of opponent kart is performed by WiiCam, an IR camera mounted on Wii Remote. In its natural habitat is used to find out at most 4 infrared sources, usually mounted on WiiBar, calculating Wii Remote position and orientation wrt them. In our scenario we have interfaced it to Arduino using this simple circuit and we have mounted a WiiBar in the back of the opponent kart.

Useful links

  • OpenCV, C++ optimized library for image processing. More information about here

Thesis

Our thesis is available in pdf format via poliTesi since April 29, 2014.