Banat

Banat

Banat University / ROMANIA

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Beteigeuze

Beteigeuze

Karlsruhe Institute of Technology / GERMANY

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Bullseye

Bullseye

Wageningen University / NETHERLANDS

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Cornstar

Cornstar

University of Maribor / SLOVENIA

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DTUni-Corn

DTUni-Corn

Technical University of Denmark / DENMARK

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Eduro

Eduro

Czech University of Life Sciences / CZECH REPUBLIC

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FireAnt

FireAnt

Czech University of Life Sciences / CZECH REPUBLIC

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Florence

Florence

Harper Adams University / UNITED KINGDOM

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Floribot

Floribot

Heilbronn University / GERMANY

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Fontynator

Fontynator

Fontys Venlo / NETHERLANDS

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GroundBreaker

GroundBreaker

Aalto Uni. & Uni. of Helsinki / FINLAND

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Helios

Helios

TU Braunschweig / GERMANY

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MEC

MEC

TU Kaiserslautern / GERMANY

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Pars

Pars

Gaziosmanpa┼ča University / TURKEY

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Smarttrike

Smarttrike

Wageningen University / NETHERLANDS

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Thalos

Thalos

University Hohenheim / GERMANY

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The Great Cornholio

The Great Cornholio

Uni. of Applied Science Osnabrueck / GERMANY

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Zephyr

Zephyr

University of Siegen / GERMANY

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General information

Team name: DTUni-Corn
Institution: Technical University of Denmark
Department: Automation and Control
Contact: Simon G. Larsen

Team details

Mentors:

Nils Axel Andersen

Ole Ravn

Members:

Simon G. Larsen

Mads Hjertsted

Joakim Langkilde

Signe Munch

Robot – basic information

Web page: www.iau.dtu.dk/~fre

Dimensions:

(W ×L ×H)

0.37 x 0.82 x 0.47 [m]
Weight: 20kg
Num. of wheels: 4 Turning radius: 0
Rain resistance: Yes    

Robot – mechanical details

Drive concept: Servo used for front wheel steering and back wheels are driven with differential drive.
Steering: Ackerman
Special characteristics:  


Robot – electrical details

Powered by: Two 12V paralleled batteries.
Motors: Servo for front wheels and 12V electro motors for back wheels
Controller:  
Sensors: Camera: Kinect Compass: -
Ultrasonic: - Gyroscope: Yes
Infrared: - Accelerometer: -
Laser: Front and back Mechanical: -
Other:  
Communication: Ethernet

Robot – Software

Operating system: Mobotware
Programed in: SMR-CL
Tools:  
Other:  

Robot – Strategy

1st task: Complete as much as possible of the course at high speed, without touching the robot, or the robot hitting the plants.
2nd task: Complete the given route. Try to minimize negative points.
3rd task: Build a map and detect the dried plants.
Free style: Don’t expect to participate in Free Style Task

Robot – Investment

Work hours: 240 hours
Components:  
Other:  
Sponsored by: DTU

Problems / Challenges

 

Other