Here we present a video representing an artificial mental card with an emergent activity.
Hypothesis: the robot is active in an unknown environment to execute a set of action according to goals.
We use Aibo recognition for objects, colors and persons. For the video, the robot recognize these entities in the test environment: Alain, Mickael, Ball, Bone, Battery and Pink (two persons, two objects and one color, with a recognition rate of 90 per cent), and respect the four phases for the interpretation of data:
During the processing, we name a focal point a set of emergent knowledge evolving in real-time according to sensors values. It is possible to modify the robot memory in real-time.
To realize the video, we had a specific configuration:
In the video (.mov), there is five windows:
At the beginning of the video, we have two windows. The window on the left is a terminal which shows messages concerning the control of the multiagent system. The window on the right is the focal point of the system, the "thought" which evolve in the time line according to inputs, knowledge, experience and goals. In this window, a yellow circle is an agent group, ie a set of agents which emerge in a same time. Each agent can have acquaintances with agents in its group or with agent in other groups. These acquaintances are the experience of the robot.
Step at time 17 s: we see the window with the system mental card (named paloma in the video, the project code name). Each point represents an agent. Metric system used to place the points is an algorithm building groups of dots according to the different roles. Currently, it is a static representation, there no animation on this window in the video.
Step at time 32: we see the window named "Entities Configuration" which expose the system parameters, ie, agent number, role number, goals, sensor number, effector number and network configuration for the robot.
Step at time 40: we see the window named "IHM" which expose the employed method to modify in real-time the acquaintances between knowledge, so the robot experience, with a matrices stacking.
Let us now explain the set of figures presented in the focal point window during the processing. There is three important sequences:
It is the last public presentation according to the system features. There is a set of patents concerning several methods used to create the system. The site will be updated with new experiments related to the features presented in this page. This video was created with Snap Pro X in parallel of the artificial brain processing.
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