PRE2015 4 Groep2: Difference between revisions

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--Locating fruit
--Locating fruit
--Collecting/Handling fruit effectively
--Collecting/Handling fruit effectively
 
--Feedback from farmer to system


-Idea/Solution to the problem
-Idea/Solution to the problem
Line 88: Line 88:
pH sensor
pH sensor
Force sensor
Force sensor
Machine learning ripeness
Machine learning ripeness (with Kinect using training set of ripe fruit)


--Ambient sensing
--Ambient sensing
Line 99: Line 99:
--Locating fruit
--Locating fruit
Kinect for depth map
Kinect for depth map
"Feel" for fruit
Probe for fruit (use color sensor to identify where fruit is located)
Touch sense for fruit (and then use color sensor)
Fixed location for fruit


--Collecting/Handling fruit effectively
--Collecting/Handling fruit effectively
Line 105: Line 107:
Soft packaging
Soft packaging
Grip from stem  
Grip from stem  
--Feedback from farmer to system


-Plan of approach
-Plan of approach
Divide task into sub-groups:
-Building the robotic arm (mechanical) (TB)
-Machine Vision/Learning (software) (TC)
-Control of the robotic arm (software and electronics) (TBC)
-Feedback from farmer (software) (TA)
-USE aspects (TA)
Key:
TA: Yannick & Raomi
TB: Mark & Maarten
TC: Cameron and Birgit
   
Deadline Week1:
Defining project plan and timeline
Specify USE aspects and identify multiple solutions
Elucidate requirements
Compile Literature
Create a presentation
Deadline Week2:
First presentation
Parts list (BOM)
Order parts
Begin drawings/concepts
Deadline Week3:
Beginning of meetings
Mark abandons us
Consolidate drawings
Deadline Week4:
Separately working components
Working base for movement from A to B
Deadline Week5:
Build the arm
Deadline Week6:
Control of arm
Deadline Week7:
Integration of subsystems
Deadline Week8:
Testing of system
Deadline Week9:
Phase-out period

Revision as of 15:17, 21 April 2016

(Wiki markup cheatsheet)

Group 2 members

  • Cameron Weibel
  • Maarten Visscher (0888263)
  • Raomi
  • Birgit
  • Mark de Jong
  • Yannick Augustijn (0856560)

Project ideas

Agritech automation

Links about agritech:

MIT Food Computer: https://www.youtube.com/watch?v=LEx6K4P4GJc

Dickson Despommier on the vertical farm: https://www.youtube.com/watch?v=XIdP00u2KRA

Agriculture is the fastest growing robotic sector: http://www.eetimes.com/document.asp?doc_id=1329273

Japanese firm to open world’s first robot-run farm: http://www.theguardian.com/environment/2016/feb/01/japanese-firm-to-open-worlds-first-robot-run-farm

Aeroponics (we most likely won’t use this as an irrigation method): https://en.wikipedia.org/wiki/Aeroponics

Polyculture: https://en.wikipedia.org/wiki/Polyculture

Why to avoid monoculture: http://evolution.berkeley.edu/evolibrary/article/agriculture_02

LED lights for imitating sunlight: http://www.gereports.com/post/105532612260/the-future-of-agriculture-indoor-farms-powered-by/

Amigo sandwich baker

Make Amigo able to make sandwiches.

Standalone sandwich baker

Create a new device that is meant purely for creating sandwiches in Subway style (i.e. with ingredient picker).

Notes meeting 1

Goal: Create a demo in which a robotic system is able to detect ripe strawberries and harvest them effectively.

Subsystems: Robotic arm Machine Vision/Learning

Requirements for presentation: -USE needs (Yannick + Raomi Team Awesome) -Scientific literature -> EU projects -> How to go beyond? (Cameron) -Requirements --Moving to A to B along a fixed axis --Cutting fruit --Sensing for ripeness --Ambient sensing --Locating fruit --Collecting/Handling fruit effectively --Feedback from farmer to system

-Idea/Solution to the problem

--Moving to A to B along a fixed axis Fixed railing Cable Treads for conveying 4-wheel/2-wheel drive Yo-yo

--Cutting fruit Scissors Custom cutting mechanism Laser cutting Sharp knife (fruit ninja)


--Sensing for ripeness Kinect Color sensor pH sensor Force sensor Machine learning ripeness (with Kinect using training set of ripe fruit)

--Ambient sensing Temperature sensor Humidity Air pressure Sunlight exposure


--Locating fruit Kinect for depth map Probe for fruit (use color sensor to identify where fruit is located) Touch sense for fruit (and then use color sensor) Fixed location for fruit

--Collecting/Handling fruit effectively Basket collection Soft packaging Grip from stem

--Feedback from farmer to system

-Plan of approach Divide task into sub-groups: -Building the robotic arm (mechanical) (TB) -Machine Vision/Learning (software) (TC) -Control of the robotic arm (software and electronics) (TBC) -Feedback from farmer (software) (TA) -USE aspects (TA)

Key: TA: Yannick & Raomi TB: Mark & Maarten TC: Cameron and Birgit

Deadline Week1: Defining project plan and timeline Specify USE aspects and identify multiple solutions Elucidate requirements Compile Literature Create a presentation

Deadline Week2: First presentation Parts list (BOM) Order parts Begin drawings/concepts

Deadline Week3: Beginning of meetings Mark abandons us Consolidate drawings

Deadline Week4: Separately working components Working base for movement from A to B

Deadline Week5: Build the arm

Deadline Week6: Control of arm

Deadline Week7: Integration of subsystems

Deadline Week8: Testing of system Deadline Week9: Phase-out period