Banat

Banat

Banat University / ROMANIA

More...
Beteigeuze

Beteigeuze

Karlsruhe Institute of Technology / GERMANY

More...
Bullseye

Bullseye

Wageningen University / NETHERLANDS

More...
Cornstar

Cornstar

University of Maribor / SLOVENIA

More...
DTUni-Corn

DTUni-Corn

Technical University of Denmark / DENMARK

More...
Eduro

Eduro

Czech University of Life Sciences / CZECH REPUBLIC

More...
FireAnt

FireAnt

Czech University of Life Sciences / CZECH REPUBLIC

More...
Florence

Florence

Harper Adams University / UNITED KINGDOM

More...
Floribot

Floribot

Heilbronn University / GERMANY

More...
Fontynator

Fontynator

Fontys Venlo / NETHERLANDS

More...
GroundBreaker

GroundBreaker

Aalto Uni. & Uni. of Helsinki / FINLAND

More...
Helios

Helios

TU Braunschweig / GERMANY

More...
MEC

MEC

TU Kaiserslautern / GERMANY

More...
Pars

Pars

Gaziosmanpaşa University / TURKEY

More...
Smarttrike

Smarttrike

Wageningen University / NETHERLANDS

More...
Thalos

Thalos

University Hohenheim / GERMANY

More...
The Great Cornholio

The Great Cornholio

Uni. of Applied Science Osnabrueck / GERMANY

More...
Zephyr

Zephyr

University of Siegen / GERMANY

More...
Frontpage Slideshow | Copyright © 2006-2014 JoomlaWorks Ltd.

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