Hi Ian,
I have a couple experiments. Both use JBox2D as a simulation
environment. The first one i called "Pong+" because it's the classic
game but with ball spin, air friction, and round "paddles". (The
enhancements are meant to prevent agents from trying to reverse engineer
the environment, but rather make necessary a solution based upon a
feedback loop.) A relatively long-winded description of the problems
that i encountered is here:
http://blog.serotoninsoftware.com/steps-toward-a-solution, and here:
http://blog.serotoninsoftware.com/box2d-machines.
Due to those problems i started the second experiment, which is a model
of a leg. I'm trying to get it to balance, bend, and hopefully in time,
jump and walk (with the help of a second leg). The problem that i'm
having this time is that inputs are position and velocity, while the
actuators are forces, which are at a different differential level. I'm
hoping to solve this by using time steps to convert the velocities into
accelerations, but i haven't done any testing yet. Paying work always
rudely gets in the way.
Cheers,
m@
On 7/11/2014 12:11 PM, Ian Danforth wrote:
Matt,
I've used physical robots for this, but haven't gotten very far using
just NuPIC. It's not set up to handle the sensory-motor loop at all.
I'd love to hear more about your setup!
Ian
On Fri, Jul 11, 2014 at 8:54 AM, Matthew Lohbihler
<[email protected] <mailto:[email protected]>> wrote:
Did i maybe send this to the wrong mailing list? Or is the
question premature?
On 7/8/2014 3:50 PM, Matthew Lohbihler wrote:
Hi everyone,
I finally watched Jeff's presentation on sensory-motor
integration the other day, and thought it was great. After
thinking about it a little bit though, it occurred to me that, to
implement, you'll need sensory data (which can come from an
environmental simulation), but also motor data (i.e. the innate
behaviour of the agent). I was curious about what test
environments you are using and how you are generating motor data.
For my part i've been using JBox2D to create simulated
environments, and have been working on building innate motor
skills that look biologically realistic, but it's not so easy to do.
Regards,
Matthew Lohbihler
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