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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Frontpage Slideshow | Copyright © 2006-2014 JoomlaWorks Ltd.

image18

General information

Team name: Tanktastic
Institution: University Hohenheim
Department: Agriculture
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.
   

Team details

Mentors: David Reiser
Members: Robert Hübner

Robot – basic information

Web page:

https://mpt.uni-hohenheim.de/

http://mpt-internal.uni-hohenheim.de/doku.php?id=robots:agsmr:welcome

Dimensions:

(W ×L ×H)

520 x 600 x 400 mm
Weight: 40 kg
Num. of wheels: 4 Turning radius: 0
Rain resistance: Light rain    

Robot – mechanical details

Drive concept: One motor for every wheel
Steering: Differential steering
Special characteristics: Fixed chassis

Robot – electrical details

Powered by: 4 x 12V 12 Ah lead storage battery
Motors: 4 x Buehler Gear Motor 70 x 129 type:1.61.050.443
Controller: cpu (i3-2120 4x 3.3 GHz), ssd hd (64 GB, 6Gb/s), ddr3 ram (8 GB)
Sensors: Camera: X Compass: -
Ultrasonic: - Gyroscope: x
Infrared: Camera Accelerometer: x
Laser: X Mechanical: x
Other: Kinect V1.0
Communication: Ethernet & USB

Robot – Software

Operating system: Linux Ubuntu and ROS
Programed in: C/C++
Tools: Geany, Catkin, Cmake, …
Other:  

Robot – Strategy

1st task: Use laserscanners  and IMU for navigation
2nd task: Detect rows and obstacles with laserscanner
3rd task: Use a Kinect Sensor HD Kamera for the detection of the plants
Free style: Detect, collect and map existing iron on a given field

Robot – Investment

Work hours: 160 h
Components: A lot…
Other:  
Sponsored by: MPT, University Hohenheim, Mädler

Problems / Challenges

Robot needs precise row navigation, because of its size. The maximum speed of the robot is to slow to reach the end of the crop rows in the tasks

Other

 

image17

General information

Team name: FREDT
Institution: TU Braunschweig
Department: Institut für mobile Maschinen und Nutzfahrzeuge
Contact:

Langer Kamp 19a

38106 Braunschweig

Team details

Mentors: Till- Fabian Minßen
Members:

Danny Behnecke

Yannick Hübner

Matthias Kemmerling

Michaela Pußack

Christian Schaub

Luke Schneider

Tom Schröder

Christopher Sontag

Robot – basic information

Web page: www.fredt.de

Dimensions:

(W ×L ×H)

350mm x 660mm x 420mm
Weight: 20kg
Num. of wheels: 4 Turning radius: 750mm
Rain resistance: medium    

Robot – mechanical details

Drive concept:

Drivetrain: 4-wheeled drive, power distributed via central differential and differentials in front and rear axles

Chassis suspension: beam axle

Steering: Ackermann steering on front and rear axle
Special characteristics:  

Robot – electrical details

Powered by: NiMH batteries
Motors: dunkermotoren BG 75x20Pl: 3500 U/min, 220W
Controller:  
Sensors: Camera:

2x

Allied Vision Prosilica GC

Compass: /
Ultrasonic: / Gyroscope: Analog Devices ADIS16300
Infrared: / Accelerometer: /
Laser: SICK LMS 100, SICK TIM 310 Mechanical: /
Other:  
Communication:  

Robot – Software

Operating system: Ubuntu Linux, ROS
Programed in: C++
Tools: Netbeans
Other:  

Robot – Strategy

1st task: lane detection → path planner → drive
2nd task: Same procedure as in task 1, because our system tolerates gaps
3rd task: Same procedure as in task 1 with our map creation component. Our cameras take pictures of the plants and our image processor analyses them. When dried plants are found we only change the colour of the plants in the map
Free style:  

Robot – Investment

Work hours: Continuous development
Components: New main computer
Other: Software rewrite
Sponsored by:  

Problems / Challenges

Last year we started a complete rewrite of Helios’ software and we aren’t finished this year, because of the big amount of complexity in all areas. We tried new algorithms and faster approaches and this is only the beginning.

Other

 

image15

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

 

image16

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

 

image14

General information

Team name:

Team GroundBreaker

Institution:

Aalto University

University of Helsinki

Department:  
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Team details

Mentors: Timo Oksanen, Jari Kostamo
Members: Tuomas Ruotsalainen, Jaakko Laine, Jussi Linko, Teemu Koitto, Juuso Autiosalo, Alexander Brink, Eemeli Saarelma, Kimmo Kankare, Juho Kalliomäki, Peter Kronström

Robot – basic information

Web page: http://autsys.aalto.fi/en/FieldRE

Dimensions:

(W ×L ×H)

390 x 750 x 560 (mm)
Weight: 19 kg
Num. of wheels: 4 Turning radius: 0.45m
Rain resistance: Moderate rain and moisture    

Robot – mechanical details

Drive concept: Four-wheel drive
Steering: Four-wheel steering, one steering servo per axle
Special characteristics: Planetary gear box, pinion gear, differential

Robot – electrical details

Powered by: 3x 5000mAh LiPo batteries
Motors: 2x 12V DC motors
Controller: Hybrid control – combination of PCs and microcontrollers
Sensors: Camera: 3x Compass:  
Ultrasonic: 4x Gyroscope: 3-axis
Infrared: 4x Accelerometer:  
Laser: 1x Mechanical:  
Other: Encoder-based wheel and steer odometry, GPS
Communication: CAN, RS485 and Ethernet

Robot – Software

Operating system: Windows CE and 7
Programed in: C#, Simulink code generation, C++
Tools: Visual Studio, Matlab, CodeVision AVR, SVN
Other:  

Robot – Strategy

1st task: Laser scanner and gyro for row driving and turning
2nd task: Laser scanner to detect obstacles
3rd task: Machine vision to detect brown plants
Free style: Blow everyone’s minds with a soil sampling trailer

Robot – Investment

Work hours: 6000h
Components: 4000 €
Other:  
Sponsored by:  

Problems / Challenges

Visual Studio.

Other