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ParcMeeting20100613

Page history last edited by Mark Fussell 13 years, 9 months ago

 

Previous Meeting: ParcMeeting20100516

Next Meeting: ParcMeeting20100627

 

Schedule 

June 13th, 2010 -- 3PM to 5PM

 

Prerequisites 

For anyone that wants to, create a good mobile base (chassis) -- a robot that can move around and can have things attached to it.  Do not use all three motors -- keep one available.  Also, make sure the mobile base can easily have other things attached to it fairly flexibly without impeding movement.   

 

Agenda 

The primary agenda will be...  "Fetch!" Mission Achievement (Part Deux).  At the meeting a mission course will be shown, and it will be up to each team to figure out how to achieve the mission.  Each mission will start from a base, have some form of obstacles, and some target object to retrieve.  Retrieve the target and return to the base.

 

Details -- Fetch!

  • Break into pairs or triplets
  • Augment one of the base mobile robot 
  • For each mission 
    • Study the target object and figure out how to retrieve it
    • Study the course and figure out how to navigate it
    • Try it and repeat.
    • Upon success, demo to club [demo must succeed _twice_ in a row to be a full win]
    • Document whatever attachment you used on top of the mobile robot (you don't need to document the mobile itself), and the program that succeeded.  So someone could do it again.
  • Name your team -- must end in 'over' :-) 

 

Resources

  • [Check] Meeting Location -- Doreen's house [location by email]
  • Kids -- How many to attend [Maya, ...]
  • Computers -- How many that are NXT-G setup [Mark = 2, ...]
  • NXT Robots -- How many [Mark = 2]
  • Cameras [Mark = 1+, ...] 
  • [Check] Floor space for running courses
  • [Check] Projector
  • Food, Drinks, Utensils

 

Fetch! Teams 

 

Three teams ultimately  

 

Topics

A few topics came up during the meeting:

 

  • Castor vs. Tread
  • Preprogrammed vs. sensor
  • Jigs / Fixtures / etc.
  • Rotational sensing vs. time (and battery impact)
  • Lots of claws -- solving
  • Ability to cluster runs

 

 

 

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