On the notion of preconceiving the position of your pong paddle, the work of Steve Levis might come in handy. He did a fully integrated sensory-motor loop with TuxPuck at the Spring Hackathon. However, NuPIC is only used to augment the predicted location of impact of the puck afair. http://numenta.org/blog/#NuPUCK
On 12.07.2014, at 01:42, Matthew Lohbihler <[email protected]> wrote: > 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]> 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 >>> >> >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >> >> >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
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