Autonomous robot's navigation

[edv]

I have looked a content of this forum and possible my post is off topic here.

If it true then I ask administrators to remove this topic (and my account too).

My post:

Hello,

Now I work at associative video memory. The method still in developing (now it version 0.5)
but it gives good results already today.

I am dealing with research of computer vision in parallel with my main job
at "Impulse" more than three years (it is my hobby).

About me: edv-detail.narod.ru/EDV_resume.html

In the beginning my achievements were insignificant and little part of ideas has worked properly.
But I did not surrender. I generated big quantity of hypotheses and then test it.

The most ideas did not work indeed but those that worked were similar to particles of gold
in huge quantity of dross. My associative video memory method is working indeed.

============================- Common information -==========================

Algorithm AVM uses a principle of multilevel decomposition of recognition matrices,
it is steady against noise of the camera and well scaled, simply and quickly
for training, also it shows acceptable quick-action on a greater image resolution
of entrance video (960x720 and more). The algorithm works with grayscale images.

The detailed information about AVM algorithm can be looked here:
edv-detail.narod.ru/AVM_main.html

AVM SDK v0.5 with examples of using and tests for comparison
of characteristics of the previous and new versions:
edv-detail.narod.ru/AVM_SDK_v0-5.zip

Demonstration video how to train AVM:


AVM demo with the user interface (GUI), installation for Windows:
edv-detail.narod.ru/Recognition.zip

Connect the web-camera and start AVM demo after installation of "Recognition.exe".
After starting the program will inform that there is not stored previously data
of training AVM and then will propose to establish the key size of the image
for creation of new copy AVM. Further train AVM using as an example Face_training_demo.avi.

========================- Robot's navigation -=========================

I also want to introduce my first experience in robot's navigation powered by AVM.

Briefly, the navigation algorithm do attempts to align position of a tower
and the body of robot on the center of the first recognized object in the list
of tracking and if the object is far will come nearer and if it is too close it
will be rolled away back.

See video below:




I have made changes in algorithm of the robot's control
also I have used low resolution of entrance images 320x240 pixels.
And it gave good result (see "Follow me"):


Robot navigation by gate from point "A" to "B"

See video below:




First an user must set the visual beacons (gates) that will show direction where robot has to go.
Robot will walk from gate to gate. If the robot recognize "target" then he come nearer and stop walking.

Navigation application (installation for Windows):
edv-detail.narod.ru/Recognition.zip

Installation also contains source code of robot control driver (InstDir\RobotController_src).
So you can adapt it to your robots and repeat my navigation experiments by yourself.

Also available source code of navigation application (but all comments in Russian):
edv-detail.narod.ru/Navigator_src.zip

Source code of "Navigator" program was prepared for Russian community.

But if you would show interest to this topic then I could adapt it to English community too.

[edv]

RoboRealm company begins distribution of "Navigator" plugin within RoboRealm software.

[edv]

Hi guys,

I'm still working over AVM technology. Now I've founded my own company that is named Invarivision.com.
We are small but passionate team of developers that are working over system which would be able watch TV and recognize video that interests user.

And we need your help!

It seems that interface of our search system is good enough because we try to make it to be simple and user friendly but from other point of view it could be a total disaster.

Could you please take a look to our system and then tell us about good and bad sides of this?

The constructive criticism is welcome.

With kind regards, EDV.

[edv]

This is quite different from autonomous robot navigation.

Our search system also is the robot that watches TV like a human but does it simultaneously on several TV channels and this robot can watch TV nonstop and do not to get tired

Can you explain more about how the system would determine what video interests the user?

The user just uploads video which interests him to the search system and then system would search it on all channels that are scanned.

Also user can add own TV channel that interests him if system still does not have such channel.

So, in other words: AVM Video Search system provides service that allows customers to make audit of TV channels or searching of forbidden or copyrighted video in file with help of automatically recognition of the video content.

The main advantage of this system is direct recognition of separate images into analyzing of video content that is provide searching of very small video fragments about two seconds long.

[edv]

I've prepared InvariMatch presentation:



I'm sorry for my English in this presentation I was try my best

It's hard to believe that all this stuff has grown up from robot navigation (there is the same Associative Video Memory algorithm that is used for matching of video content).

[driph]

Ten years!

[crpdiablos]

I have a NAO robot that I bought a few years back as a learning tool for myself and my employees and family but due to issues with the robot itself we weren't able to do anything with it for 2 yrs so it just got shelved. Your video reminded me of the little guy and just wondered if you had anything that would work on it. I have seen that I can connect it to Watson but not being a programmer myself I need some help to do so. If anybody is willing to help me out let me know. The robot is pretty cool and it just sits in a box that s xolkexring dust in my garage and that is an expensive paperweight.