Psyclone version 2.0.3 released
Psyclone 2.0.3 has been released on the Download page which now includes a freshly written System Reference doc and the new CMSDK documentation site.
Read more about some of the many Psyclone platform use cases.
Psyclone 2.0.3 has been released on the Download page which now includes a freshly written System Reference doc and the new CMSDK documentation site.
Read more about some of the many Psyclone platform use cases.
Psyclone 2.0 already supports user authored native C++ modules running in a mixed Windows/Linux cluster environment. Now we have added native Python 2.7 and 3.5 support so our users can create either inline or separate modules written entirely in Python. As part of the CoCoMaps project we are now integrating with ROS (Robot Operating System)…
We now have turn-taking for two participants (one robot and one human) up and running on the Psyclone 2 platform. We use Nuance for speech recognition and speech generation and can handle interruptions and long pauses. Now we just need to work on starting and ending the conversation 🙂
We have today released all the open source parts of the CoCoMaps project. Please visit the download page for viewing it. Do remember that the project runs inside the Psyclone Platform, so you will need this as well from, it can be downloaded here.
Preparation of our robots is now in full swing to get them up and running for our first demo. The on-board cameras all need to run at the same time which we have been testing as well as getting the robots to communicate through the CCMCatalog. The first trial run went pretty well but afterwards…
Our robots are now boasting of a new and longer neck for a raised camera position. It makes them look like giraffes, but it’s part of a set of improvements being implemented for our next demo. They also include testing a new camera with better handling of light, implementing better on-board face detection and lowering…
The stage has now been set for our robots to show off their capabilities so far. The robots are to map out an area which they scan for humans using search patterns. Each human detected will be identified using facial recognition. All information is instantly shared with the other robot via the CCMCatalog. Let’s see…