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: The Great Cornholio
Institution: University of Applied Science Osnabrueck
Department: Engineering and Computer Sciences
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Team details

Mentors: Arno Ruckelshausen, Andreas Linz
Members: Fabian Ellermann, Lukas Goll, Steffen Hellermann, Fabian Lankenau, Adrian Merrath, Peter Purnyn, Andreas Trabhardt, Heiko Willms, Oliver Wulfers

Robot – basic information

Web page: http://www.ecs.hs-osnabrueck.de/teamfieldrobot.html

Dimensions:

(W ×L ×H)

44x69x54
Weight: 25 kg
Num. of wheels: 4 Turning radius: 0
Rain resistance: None (umbrella)    

Robot – mechanical details

Drive concept: Skid drive
Steering: Differential steering
Special characteristics: As it is typical for robots basing on ''Volksbot'' – the robot-platform of the Frauenhofer Institute – Cornholio's case relies on item profiles, making it easy to mount sensors. The profiles and the cover panels are made of aluminium. As a light metal the usage of aluminium saves weight so the robot will be able to move faster.

Robot – electrical details

Powered by: Lead-acid Battery 24 V
Motors: 2x Maxon RE 40
Controller: 2x Maxon Motor EPOS2 70/10
Sensors: Camera: 2x LeanXcam Compass: Razor IMU
Ultrasonic:   Gyroscope: Razor IMU
Infrared: Nippon Signal FX-8 Accelerometer: Razor IMU
Laser: SICK LMS100, SICK TIM 551 Mechanical:  
Other: Kinect 2.0
Communication: Ethernet, Wi-Fi & Bluetooth

Robot – Software

Operating system: ROS
Programed in: C++
Tools: Eclipse
Other:  

Robot – Strategy

1st task: Using a laser scanner to determine the location of entrances to enter the rows. Also using the laser scanner to determine the best path to take through the rows to avoid contacting the plants.
2nd task: Same as task #1 however we preload the pattern to follow through the rows.
3rd task: Using an RGB camera to detect brown plants on either side as we traverse the rows, we record the position using odometry data and play a sound effect.
Free style: TBD

Robot – Investment

Work hours: 500+
Components:  
Other:  
Sponsored by: Amazone, Electronic Assembly, Exsys, iotec, Mayr, Sick

Problems / Challenges

 

Other