PRE2015 4 Groep2
Group 2 members
- Cameron Weibel
- Maarten Visscher (0888263)
- Raomi van Rozendaal
- Birgit van der Stigchel
- 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