Robot training has been developed in collaboration with Bartimeus foundation, University of Amsterdam en Eindhoven university of technology. The aim of this project is to reduce the worrying behavior of visually impaired people.
ToDo: elaborate on the introduction, provide pointers to literature, add project name, people and parties involved.
The software in this project is offered for free and can be used as is. The software is available as a zip package. Since the training of the people has been conducted in Dutch the name of the file is in dutch as well (piekeren = to worry).
From our partners in robotics we often hear that TiViPE is easy to use, but for starters the first steps appear to be the biggest hurdle. Here is a step by step approach how to use TiViPE as an end-user programming environment without any textual programming.
In this case we construct a robot control example by using states.
Recent developments in artificial intelligence (deep learning) have been integrated into software platform TiViPE. Connecting a camera to three of these deep learning networks in parallel shows that the system recognizes human basic needs in real time.
By applying speech and object recognition to robot applications, a higher degree of autonomy is being achieved.
Interested in these applications or when robots outperform humans?
The aim of this post is to control robots using TiVIPE software. A robot, a computer, a router or internet switch, and 2 ethernet cables are required. The document describes in short steps how these components are connected, started, and checked. In addition the steps needed to get check every connection and to get the software working properly within TiViPE are described.
One of the extremely powerful tools of graphical programming is compounding a set of modules into a single new module. Nevertheless even if this is a fully automated process, the compiler is not smart enough to generate useful documentation, nor is it able to fixate or reorder parameters. This post elaborates on how to merge a set of TiViPE modules to a new module.