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: 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

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