INNlink projects

In order to effectively build the autonomous robotic systems of tomorrow, cognitive guidance systems are paramount. The expertise contributed by INNlink involves creating systems of artificial brain cells (in whole or partly) and will provide the ability to reason and generalize, which is characteristic in cognitive systems and a necessity in autonomous robots in the house, whether as a toy or servant.
With the expertise gained in both cognitive systems and the design of these, INNlink is constantly developing new products:

INNsim

A generic, socket based framework to facilitate development of the intelligent systems. Through cluster computing, this gives a high performance, highly adaptable platform, giving us the flexibility to create tailor-made products for our customers.

INNsilico

Artificial brain cells can be very complex to simulate in conventional computer systems, such as PCs. In order to put brain cells into microelectronic circuits, a whole new chip structure must be designed such as the one developed by INNlink.

INNsight

Extracting features from a video feed, not only cognitively, but also efficiently, is the scope of INNsight. By applying highly advanced algorithms, optimised for speed and low power consumption, INNsight provides the input necessary for cognitive guidance systems in autonomous robots.

INNutero

As is the practise in the industry, robots are firstly developed in virtual environments. This has been taken to a new level by INNlink with the introduction of INNutero. Introducing various plug-ins that enable the generating and automatic evaluation of virtual robots, INNlink provides the means of developing robots using genetic computing.

FLUID

Fuzzy Logic UnIt Designer - An intuitive graphical tool for creating Fuzzy Systems as simple as click and drag. This tool is ideal for robotic controls, allowing the user to visually connect control units, which can be further refined to serve the specific task.

GEAR

A Generic Evolutionary Algorithm evolveR. No matter the system, if it is described in XML, GEAR can evolve it and optimise it for a given task, based on the advanced, mathematic approach of genetic computing. To put it short: If you can design it in XML, GEAR can optimise it!