# data[].attributes.body
Approach red, avoid blue

# data[].attributes.body
(in hardware)

# data[].attributes.body
(...in simulation)|

# data[].attributes.body
Receptive Field Weights

# data[].attributes.body
This is all Paul’s fault

# data[].attributes.attachment_link.title
Matchroom Mob With Chas And Dave - Snooker Loopy

# data[].attributes.attachment_link.description
Video] Matchroom Mob With Chas And Dave - Snooker Loopy (Wiggy St Helens UK 2007) - VERY SAD HAHA

# data[].attributes.body
Csv of column rec.field

# data[].attributes.body
After a slow start we worked pretty well, dividing responsibility, then convening in periodic scrums to review and plan progress...

# data[].attributes.body
Model developers hard at work

# data[].attributes.body
Snooker ball

# data[].attributes.body
The colours available to us

# data[].attributes.body
Ideas brainstormed:
- Snooker
- Robot football
- driver-assist obstacle avoidance
- red attracted robot/basic navigation
- parallax-based distance estimator

# data[].attributes.body
Paul wants to do a snooker robot...

# data[].attributes.body
Pushable object

# data[].attributes.body
1) Start at random position
2) detect red object
3) get to object
4) push some direction

# data[].attributes.body
Post lunch review and plan