Subject:
|
Re: New contest
|
Newsgroups:
|
lugnet.robotics
|
Date:
|
Fri, 9 Dec 2005 23:13:27 GMT
|
Viewed:
|
1083 times
|
| |
|
|
In lugnet.robotics, Geoffrey Hyde wrote:
>
> "PeterBalch" <lego-robotics@crynwr.com> wrote in message
> news:200512070728_MC3-1-B1D9-C836@compuserve.com...
> >
> > Message text written by Mr S
> >
> > I'm not sure this rule is neccessary but it does little harm. I expect
> > that
> > most of the "Don't get stuck" algorithms won't need tremendous computing
> > power. But if someone solves the coms problems and comes up with a
> > wonderful algorithm that involves taking bearings off the ceiling lights
> > and building a 3D model of the room then well done.
>
> Just how much programming work would it be for a robot's AI/inputs to have
> to cope with flourescent lights (which basically are a stripe and not a
> point) on the ceiling??
>
>
> Cheers ...
>
> Geoffrey Hyde
Hmmm, here is a similar idea by a group called "Evolution Robotics". The system
(called NorthStar) is designed that a robot with a simple reciver can identify a
room (and its position within the room) by reading the number of IR dots being
projected on the ceiling by a transimitter. Although it would probably take some
home-brew stuff, I think an exploitation of this idea would be feasible for a
Mindstorms robot. Here are some of the links...sorry if they are partially
redundant
NorthStar Official Site
http://www.engineeringtalk.com/news/elu/elu102.html
Two Articles
http://www.evolution.com/products/northstar/
http://www.findarticles.com/p/articles/mi_zdpcm/is_200410/ai_n7181378
Chris
|
|
Message is in Reply To:
 | | Re: New contest
|
| "PeterBalch" <lego-robotics@crynwr.com> wrote in message news:200512070728_MC...rve.com... (...) Just how much programming work would it be for a robot's AI/inputs to have to cope with flourescent lights (which basically are a stripe and not a (...) (19 years ago, 8-Dec-05, to lugnet.robotics)
|
6 Messages in This Thread:
 
- Entire Thread on One Page:
- Nested:
All | Brief | Compact | Dots
Linear:
All | Brief | Compact
|
|
|
|
