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

Gaziosmanpaşa 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.

image026

General information

Team name: Banat Team
Institution:

-BANAT UNIVERSITY OF AGRICULTURAL SCIENCES AND VETERINARY MEDICINE TIMISOARA

-"POLITEHNICA” UNIVERSITY TIMISOARA

Department:

-Machinery and Equipment for Agriculture and Food Industry

-Automation and Applied Informatics

Contact:

Sorin Bungescu

Eniko Toth

Team details

Mentors:

Bungescu Sorin

 Nanu Sorin

Tucu Dumitru

Members:

Toth Eniko

Negirla Paul

Pop MIhai

Arambasa Vlad

Covaci Emanuel

Almasan Catalin

Robot – basic information

Web page:  

Dimensions:

(W × L × H)

40x40x20
Weight: 10
Num. of wheels: 4 Turning radius: 0cm
Rain resistance: Medium    

Robot – mechanical details

Drive concept: All wheels in pairs
Steering:  
Special characteristics:  

Robot – electrical details

Powered by: Battery
Motors: 2
Controller: Arduino Mega2560 & Raspberry Pi
Sensors: Camera: Pixy CMUcam5 Compass: 1
Ultrasonic: 1 Gyroscope: 1
Infrared: 0 Accelerometer: 0
Laser: 2 Mechanical: 0
Other:  
Communication: Serial, Bluetooth, SPI

Robot – Software

Operating system: Raspbian for Raspberry Pi
Programed in: Atmel Studio (Arduino)
Tools:  
Other: OpenCV

Robot – Strategy

1st task: For the navigation tasks, the algorithms will focus on mapping the rows. With the help of the Lidar and ultrasonica sensors, the robot will be adjusted in order to keep it centered on the row. On the headland, the robot will turn and return in the adjacent row.
2nd task: Same as the 1st task, but will turn the specified row.
3rd task: The Raspberry Pi is going to provide information to the main board about the weeds found on the row, with the help of Pixy CMUcam5. When the brown corn will be detected, it will trigger a “weed found” state, so the correct algorithm will be called in the following sequences. Then, it will memorize the curent position and generate the map with the collected information.
Free style:  

Robot – Investment

Work hours: 100
Components: 2000 Euro
Other:  
Sponsored by: Claas Foundation and others

Problems / Challenges

 

Other

 

DSC 0102 2 

General information

Team name: Biosystems Engineering
Institution: Faculty of Agriculture and Life Science, University of Maribor
Department: Biosystems Engineering
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Team details

Mentors:

Miran Lakota,

Jurij Rakun, Peter Berk

Members: Jože Kraner, Miran Purgaj

Robot – basic information

Web page: fkbv.um.si:84

Dimensions:

(W ×L ×H)

40 x 60 x 40 cm
Weight: 15 kg
Num. of wheels: 4 Turning radius: 120 cm
Rain resistance: Moderate rain    

Robot – mechanical details

Drive concept: Four wheel drive
Steering: Two-axes steering
Special characteristics: /

Robot – electrical details

Powered by: 3 LiPo Battery packs (two 3S, one 2S)
Motors: 3 phase motor – X-power eco A4130-06BL
Controller:

On board computer Nitrogen6x (ARM-Cortex A9) and a

Peripheral expansion board  - AVR ATMEGA 128

Sensors: Camera: DBK31UA03 Compass: Venus638FLPx
Ultrasonic: / Gyroscope: /
Infrared: / Accelerometer: /
Laser: TiM300 Mechanical: /
Other: GPS HMC6352
Communication: WiFi, RS232

Robot – Software

Operating system: Linux + ROS, custom written software
Programed in: C/C++
Tools: Kdevelop, Atmel Studio
Other: /

Robot – Strategy

1st task: By using custom developed SLAM navigation algorithm + our own navigation control node for navigating trough the maze.
2nd task: As in the 1st task + additional node for pattern based driving.
3rd task: As in the 1st task + colour based segmentation.
Free style: Will not be attending this year.

Robot – Investment

Work hours: We are not counting anymore J
Components: 5000 eur
Other: 1000 eur
Sponsored by: SICK, The Imaging Source, Boundary Devices

Problems / Challenges

Turning radius.

Other

/         

image023

General information

Team name: Fontynator
Institution: Fontys Venlo
Department: Mechatronics
Contact:  

Team details

Mentors: Frank van Gennip
Members: John, Luc, Rik, Willem, Willem

Robot – basic information

Web page:  

Dimensions:

(W ×L ×H)

450x600x340
Weight: 23kg
Num. of wheels: 4 Turning radius: 0
Rain resistance: IP53    

Robot – mechanical details

Drive concept: Differential drive (skid-steering)
Steering: Non-hollonomic
Special characteristics:  

Robot – electrical details

Powered by: 8 x 22.2V lithium batteries
Motors: 4
Controller: Arduino
Sensors: Camera:   Compass: x
Ultrasonic:   Gyroscope: x
Infrared:   Accelerometer: x
Laser: x Mechanical:  
Other:  
Communication:  

Robot – Software

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

Robot – Strategy

1st task: Constantly move a goal in a forward direction to make the right path.
2nd task: Change the goals on the end of the row to move further.
3rd task: Create a map of the field without colours.
Free style: Ground inspection for moisture, PH value

Robot – Investment

Work hours: 20 hours * 15 weeks * 5 people = 1500 hours
Components: Sick Tim 3 Series
Other:  
Sponsored by: Sick, Fontys

Problems / Challenges

Navigating autonomously, get the encoders to work

Other

 

24

General information

Team name: Team Floribot
Institution: Heilbronn University
Department: Faculty mechanics and electronics
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Team details

Mentors: B.Eng. Michael Gysin
Members: Benedict Bauer

Robot – basic information

Web page: www.floibot.de

Dimensions:

(W ×L ×H)

ca. 41 cm × 48 cm × 40 cm
Weight: ca. 25 kg
Num. of wheels: 3 Turning radius: ca. 30 cm
Rain resistance: A little    

Robot – mechanical details

Drive concept: differential drive
Steering:  
Special characteristics: Differential wheeled robot made of aluminium profiles.

Robot – electrical details

Powered by: NiMH Akku
Motors: Ebmpapst BCI geared motor (worm drive)
Controller: Sabertooth 2x25
Sensors: Camera: Webcam Compass: -
Ultrasonic: - Gyroscope: -
Infrared: - Accelerometer: -
Laser: Hokuyo laser range Mechanical:  
Other: incremental encoder
Communication: WLAN

Robot – Software

Operating system: Xubuntu
Programed in: C
Tools: Matlab Simulink
Other: Code generated from Simulink model in conjunction with ROS drivers.

Robot – Strategy

1st task: Essential strategy: potential field method
2nd task: potential field method with advanced logic
3rd task: Same as 1st task with image acquisition
Free style: -

Robot – Investment

Work hours: lots
Components: 10.000 €
Other: -
Sponsored by: -

Problems / Challenges

 

Other

 

image9

General information

Team name: Harper Adams
Institution: Harper Adams University
Department: Engineering
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it. This email address is being protected from spambots. You need JavaScript enabled to view it. This email address is being protected from spambots. You need JavaScript enabled to view it. This email address is being protected from spambots. You need JavaScript enabled to view it.

Team details

Mentors: Sam Wane
Members: Jacob Smith, Max Thorne, James Townley, Alec Henderson

Robot – basic information

Web page: http://www.harper-adams.ac.uk/

Dimensions:

(W ×L ×H)

300 x 500 x 300
Weight: 7kg
Num. of wheels: 4 Turning radius: 0.5m
Rain resistance: Medium (≈IP63)    

Robot – mechanical details

Drive concept: 4 wheel drive
Steering: 4 wheel steer
Special characteristics: 2 wheels steer, 4 wheel steer and crab steer are all possible

Robot – electrical details

Powered by: 12V NiMh and 7.2V NiMh batteries
Motors: Maverick scout drive motor
Controller: Arduino Mega 2560 microcontroller
Sensors: Camera: Possibly Compass: Yes
Ultrasonic: Yes Gyroscope: No
Infrared: No Accelerometer: No
Laser: No Mechanical: No
Other: Multi-ray LED scanner
Communication: RS232 serial communication for the LED scanner.

Robot – Software

Operating system: Arduino
Programed in: Arduino programming environment
Tools: -
Other: The controller interfaces with both the LED scanner and ultrasonic sensors, creating a primary and a secondary navigational system.

Robot – Strategy

1st task: For tasks 1, our strategy is to complete the course fast, but also reliably. We have used proportional steering control to navigate down the rows, resulting in smooth operation. We can also use the ultrasound sensory if the primary sensing technique (LED scanner) fails.
2nd task: We have used a repeated sample strategy to ensure that the headlands aren’t falsely detected, while we can also use the ultrasound sensory if the primary sensing technique (LED scanner) fails. We have a row counting strategy to navigate at the headlands.
3rd task: TBC
Free style: TBC

Robot – Investment

Work hours: ≈360 hours
Components:  
Other:  
Sponsored by: The team is grateful for financial support from the Douglas Bomford Trust and the Claas Foundation enabling us to successfully compete in this competition and to allow future teams from the University to build upon our work.

Problems / Challenges

At the time of writing this we are having trouble with weed detection (Task 3), using Pixy (CMUcam5).

Other

-