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.

image13

General information

Team name:

Zephyr

Institution: University of Siegen
Department: Institute of Real-Time Learning Systems
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.

Team details

Mentors: Klaus Müller, Jan Kunze, Prof. Dr.-Ing. Klaus-Dieter Kuhnert
Members: Charan Ram Akupati, Felix Graf, Yuwei Guo, Sven Höhn, Jan-Marco Hütwohl, Thomas Köther, Götz Poenar, Jan-Friedrich Schlemper, Saeid Sedighi, Wangyi Zhu
   

Robot – basic information

Web page: http://www.eti.uni-siegen.de/ezls/

Dimensions:

(W × L × H)

40 x 65 x 50 cm
Weight: 15 kg
Num. of wheels: 4 Turning radius: 75 cm
Rain resistance: splash water protected    

Robot – mechanical details

Drive concept: Four wheel drive
Steering: Both axis are steerable
Special characteristics:  

Robot – electrical details

Powered by: 4 cell LiFePo battery (20 Ah)
Motors: 2x Vector K4 brushless motors
Controller: 2x LPR Truck Puller
Sensors: Camera: X Compass: X
  Ultrasonic: X Gyroscope: X
  Infrared:   Accelerometer: X
  Laser: X Mechanical:  
  Other: Kinect V2
Communication: TCP/IP

Robot – Software

Operating system: Ubuntu Linux 
Programed in: C / C++ and Python
Tools: Robot Operating System (ROS), OpenCV, Point Cloud Library (PCL)
Other:  

Robot – Strategy

1st task: The main idea behind this task is the usage of the laser scanner to find the middle of the actual row and later to find the entrance to the row in which the robot wants to turn.
2nd task: In Task 2 the laser range data is used to build a 2D grid from the field. The grid is then divided into several clusters and the algorithm tries to detect the clusters that are most likely the left and right plant rows. To drive backward the Zephyr uses the sonar sensor to estimate the way through the row.
3rd task: The Kinect is used to detect the dried up plants. The raw image gets filtered by color and by distance to the sensor, to avoid ground detection.
Free style: No strategy yet.

Robot – Investment

Work hours: Countless
Components: 7000 €
Other:  
Sponsored by: -

Problems / Challenges

Countless

Other

The Zephyr robot is a complete new model that was designed from scratch. The experience and knowledge the team gathered in recent years help us to improve the old platform and fix lots of well known problems. One of the main improvements is the smaller turning radius that makes our robot more flexible in the field.

image12

General information

Team name:

SmartTrike

Institution: Wageningen University
Department: Farm Technology Group
Contact: Jan Willem Hofstee

Team details

Mentors: Bastiaan Vroegindeweij, Sam Blaauw
Members: Rik Aelfers, Steven van Hell,  Bernard Russchen, Roy Raedts, Elianne van Esbroeck

Robot – basic information

Web page: www.robatic.nl

Dimensions:

(W × L × H)

36x113x55 cm
Weight: 40 kg
Num. of wheels: 3 Turning radius: 30 cm
Rain resistance: Splash proof    

Robot – mechanical details

Drive concept: Three wheel drive
Steering: Tricycle
Special characteristics:  

Robot – electrical details

Powered by: 12V and 24 V battery
Motors: Maxon DC Engines (90 Watt)
Controller: Roboteq AX3500
Sensors: Camera: 3x Microsoft LifeCam HD-3000 Compass: Xsens mti-30
Ultrasonic: 4x SRF08 ultrasonic sensor Gyroscope: Xsens mti-30
Infrared: - Accelerometer: Xsens mti-30
Laser: 2x Sick LMS111-10100 Mechanical: -
Other: Arduino Uno

Communication:

WiFi, bluetooth

Robot – Software

Operating system: Windows 7
Programmed in: Labview 2013
Tools:  
Other:  

Robot – Strategy

1st task: With the use of data from the ultrasonic sensors and both laser scanners the rows will be detected. This data will be processed using sensor fusion followed by a PID controller which results in commands for the motor controllers.
2nd task: Equal to task 1, only a predetermined route will be converted into the correct commands to drive and skip the right rows.
3rd task: Probably using the laser scanner data and convert it into plant rows, this in combination with odometry and xsens measurements. We will use the information from the cameras to detect the brown plants.
Free style: Collecting  ground eggs inside a simulated poultry house and drop them into a cart at a certain location.

Robot – Investment

Work hours: 260 hours per person, thus 1300 totally
Components: 3 cameras, egg collecting device, sick laser scanner and 4 ultrasonic sensors
Other:  
Sponsored by: Claas Stiftung, Wageningen University, Steketee, Kverneland

Problems / Challenges

Rewriting most of the Labview code to create an universal code that can be applied to any robot with minor adjustments.

Other

 

image10

General information

Team name:

Robot Pars

Institution: Gaziosmanpaşa University / TURKEY
Department: Biosystems Engineering
Contact: Assist. Prof. Mehmet Metin OZGUVEN

Team details

Mentors: Assist. Prof. Mehmet Metin OZGUVEN
Members:

Mustafa TAN

Lecturer Muzaffer Hakan YARDIM

Assist. Cemil KOZKURT

Assist. Mustafa OZSOy

Prof. Dr. Sefa TARHAN

Robot – basic information

Web page: www.robotpars.com

Dimensions:

(W ×L ×H)

383x545x248 (mm)
Weight: 4,650 kg
Num. of wheels: 360 mm Turning radius: 40
Rain resistance:      

Robot – mechanical details

Drive concept: autonomous
Steering:  
Special characteristics: Shaft and chain 4WD mechanism transfers traction efficiently.

Robot – electrical details

Powered by: 7,2v li-po
Motors: Team Orion NEON 8BL
Controller:  
Sensors: Camera: x Compass:  
Ultrasonic: x Gyroscope:  
Infrared:   Accelerometer:  
Laser:   Mechanical:  
Other:  
Communication: USB

Robot – Software

Operating system: Arduino Due and Beagle Board
Programed in: While writing the software, the algorithm we organized, and input and output pins of the microcontroller in our electronic circuit should be considered. C/C++ will be used as the programming language, and MATLAP will be used as the simulation. We are going to use the Arduino DUE circuit board. We can easily program the Arduino microcontroller with libraries. The code we wrote will be converted into machine language through ARDUİNO compiler, and will be transmitted into microcontroller through the programmer.
Tools:  
Other:  

Robot – Strategy

1st task: The main algorithms and methods of the robot will be Line perception, Line break perception and Return skills. These will be used to make ultrasonic sensors.
2nd task: In addition to the algorithms in task 1, here our algorithm will be jump line, the back movement and return capability.
3rd task: Here we will be used camera systems.
Free style: surprise

Robot – Investment

Work hours: 420
Components: Postgraduate students and lecturers from Biosystem, Mechatronics and Electric-Electronic Engineering
Other:  
Sponsored by: Gaziosmanpaşa University

Problems / Challenges

 

Other

The robot’s cover is not ready. We are working on cover.

image11

General information

Team name:

Bullseye

Institution: Wageningen University
Department: Farm Technology Group
Contact: Jan Willem Hofstee

Team details

Mentors: Joris Ijsselmuiden, Sam Blaauw
Members: Rick Stegeman, Adrie Meeuwesen, Thijs Ruigrok, Sander Bouwknegt

Robot – basic information

Web page: Www.robatic.nl

Dimensions:

(W × L × H)

50x95x105 cm
Weight: 35 kg
Num. of wheels: 4 Turning radius: 15 cm
Rain resistance: Splash proof    

Robot – mechanical details

Drive concept: Direct drive
Steering: 4 wheeled ackermann
Special characteristics:  

Robot – electrical details

Powered by: ZIPPY Flightmax 8000 mAh 6S1P 30c
Motors: Maxon brushless motors
Controller: Motion Mind rev. 2
Sensors: Camera: 3x Microsoft LifeCam HD-3000 Compass: Xsens mti-30
Ultrasonic: - Gyroscope: Xsens mti-30
Infrared: - Accelerometer: Xsens mti-30
Laser: Sick LMS111 Mechanical: Kverneland potentiometer
Other: Arduino Uno
Communicatio: WiFi, bluetooth

Robot – Software

Operating system: Ubuntu 14.04 with Ros Indigo
Programmed in: Python
Tools:  
Other:  

Robot – Strategy

1st task: Using the cameras and laserscanner information, rows are detected. This information will be converted using sensor fusion and PID controllers to motorcontroller commands.
2nd task: Same as task 1, but now with additional info of which rows to drive in.
3rd task: Probably using gmapping, otherwise using odometry and xsens combinated with the information from the cameras
Free style: Detect a parking place and park the robot with trailer backwards in that spot.

Robot – Investment

Work hours: 260 hours per person, thus 1040 totally
Components: 3 cameras, motherboard and processor, Arduino Uno, potentiometer
Other:  
Sponsored by: Claas Stiftung, Wageningen University, Agrifac, Probotiq, Dacom

Problems / Challenges

Previously the robot was controlled using LabView. It was a challenge to rewrite the whole software into ROS without any prior knowledge in ROS.

Other

 

image8

General information

Team name: Kamaro Engineering e.V:
Institution: Karlsruhe Institute of Technology

Department:

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

Team details

Mentors: -
Members: 56

Robot – basic information

Web page: www.kamaro-engineering.de

Dimensions:

(W × L × H)

55x90x50 cm
Weight: 30 KG
Num. of wheels: 4 Turning radius: 60 cm
Rain resistance: IP 22    

Robot – mechanical details

Drive concept: Four-wheel-drive, two differentials
Steering: Four-wheel-steering with independent axles
Special characteristics: Lots of traction and good ground clearance

Robot – electrical details

Powered by: 2x 22,2V, 5000 mAh, Li-Poly
Motors: Dunkermotoren BG72x25CI (Traction)
Controller: ARM Cortex M4 STM32F4 Board (CAN)
Sensors: Camera: Webcams (Logitech) and Industrial (Baumer) Compass: MEMS
Ultrasonic: Optional (Baumer) Gyroscope: MEMS
Infrared: - Accelerometer: MEMS
Laser:

SICK LMS100/

SICK TIM 551

Mechanical: Steering position encoders and many  switches
Other:  
Communication W-LAN, Gbit-LAN, CAN, USB, UART, I²C, PWM

Robot – Software

Operating system: Debian Linux (PC), Microprocessor Code (Master Board)
Programed in: Java, C#, C++, C
Tools: Visual Studio, Eclipse
Other: Custom Code

Robot – Strategy

1st task:

“It's a marathon, not a sprint, unless it's a sprint, then sprint.”

Choose the longest obstacle free space in front of you as your path. Turn, if you think you have reached the end of the line.

2nd task:

“When in doubt, know your way out.”

See task 1, additional routines for obstacle detection an routing strategy

3rd task:

“Double-knot your shoes.”

Use two LIDARs to gather enormous amounts of data. Then make sense of it.

Free style:

“Swiss army knife”

Pulling a trailer packed with surprising features.

Robot – Investment

Work hours: Approx. 20 – 30 Students  x  3 years  x  10 hrs./week
Components:  
Other: Countless individually designed and manufactured parts
Sponsored by:

Main sponsors:

Supporting association of the MOBIMA chair

Supporting association of the students of the KIT

Many Companies supplied parts for free or at discount (SICK, Dunker­motoren, Nozag, Igus, Conec, Weidmüller, Metallbau-Schreiber, Kern, Baumer, Pepperl + Fuchs, Bosch Rexroth, Mädler)

Many individuals at the KIT helped us to unbureaucratically use time and resources scattered around the university.

Problems / Challenges

Managing the cooperation in a large team.

Finally unleashing our competitive advantage in mechanical and electrical engineering.

Gathering resources for our work. (Sponsors welcome!)

Avoiding over engineering.

Avoiding under engineering.

Complex software – complex bugs – lots of cookies and coffee.

Introducing reliability and performance upgrades to mechanics, hardware and software.

Calibrating the Ballmer peak.