Self-training robot

Hi,
I'm looking for info about microprocessor-based robots with ability self-training/self-learning, i.e. about robots with ability
to create new conditional reflexes based on collected experience in opposite to hard coded behavior. Any info about real projects (not about philosophic jabber) will be useful.
Thanks
- Nick
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I am searching for this too. I think Honda is trying to add this feature to Asimo, but I do not know about the programming details.
Joel
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You are lucky . I am the worlds expert . You need to make the mcu "kernel" have a most efficient method , so first , toss English text , and allow this kernel to work in his own way . Linking means , the kernel can most efficiently "connect" dissimilar objects and code fragments . Especially the lowest levels , will be linked 100% , so if kernel needs to improve some of his low level code , he can use these links to "figure" what went wrong . The poison of this linking is multi-tasking by forced interupts . So i never use IRQ's , i write the code to dynamically alter the perceived importance of a task . The kernel figures how much idle time the highest priority can give up and then passes this freespace to only a task that can fit in that space . This solves problems ! At idle time , kernel polls IRQ's and does so in order . But this is a small task , cause kernel knows not to poll the hardware that needs lots of space ! , kernel only polls s few that can fit in the 3 microseconds . Now you know why FIQ is NOT needed ! Cut to the chase scene , modern Forth is the only simply way to program robots .
We all want to create an algorithm to make the robot walk . Create code with a short loop . Just as your brain does , then allow a higher part of the brain develope a good habit from . More than one balance method , from stupid pendulums to rate gyros and magnetometers and VideoCams* .
and a "local" mcu to over rule the slow methods when they cant keep up .
The main mcu only needs to command and destabilize and then relax , the local mcu is accidently walking the robot , by correcting it ! Thus it is always in a balancing act . If the local mcu has good enuf "inputs" it will be able to learn how to balance better and better . It has feedback , so it knows that the fall was due to its' ignoring the faster input ! Because if it knew the "rate" better , it would have been able to correct faster ! So next time you push , it uses the rate to make a faster correction . But it wont overshoot , because its seeing the feedback of the loop . The first time , it saw the feedback did not change fast enuf , so it crashed Next time it tags that slow input as being only useable at slow rates . All of this can happen without any initial programming ! You can even add sensors , and it will characterize them and use them .
But all is lost if you bury your self in the C langauge . You cant afford such a waste of time . Especially robot s/w , must be written with a track-ball mounted on the robot , not a Host PC IDE ! No need for a big color LCD , a $10 128*64 BW from B.G. Micro .
some of my high performance ideas , use a spinning BW , low lux vid cam . It only uses alternate vertical scan line , maybe every 6th or 8th line . Each line gets a ARM9 mcu . It works like a insect eye , each line has a clock , so when that line sees a fast contrast change , its mcu can 'match" this change to its map , and send a fast signal to the main mcu , that position has changed 1 degree west . This is in the fast mode , when stuff is goin slow , the whole vid cam can be used to walk in the dark , using a few I.R. LEDS ( VidCam = .01 LUX) Trying to make ur own insect eye is actually harder than using a few lines from a $20 BW VidCam .
.
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