We have completed Demo 2 of the project and the report and video are almost ready for publication. The robots behaved very well and worked together nicely to complete the tasks. They start up searching for humans to speak to (like in Demo 1) and once a human has been found one of the robots…
We are heading into the last two months of the project, scheduled to finish on 31 March 2018. We have completed two demonstrations (Demo 0 and Demo 1) and are working hard on the final elements for the final two (Demo 2 and Demo 3). Our speech interaction is improving day by day and the…
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…
Demo 1 went well with the robots successfully identifying their human partners – and the video editing is finally complete. In this video you can watch the full demo.
Demo 1 produced a lot of data and we are working our way through it now. Preliminary figures suggest that the CCMCatalog enabled the robots to collaborate far more efficiently when working together and that the robots were able to detect and track humans in the scene. Stay tuned for more results…
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…
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…
The CCMCatalog is almost done and can handle the sharing and negotiation of observations and tasks between the two robots. Face detection has gone in and the new body and legs detector is being tested now. Basic navigation is working now and we are working on the operator interface in the PsyProbe web interface.
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)…
Later this year we plan to release version 2.0 of the Psyclone platform. It is a complete rewrite of Psyclone 1.5 with all the old features intact and with massive performance improvements, merging of discrete and streaming data messaging, introduction of drumbeat signals for simulations and a completely new web interface, PsyProbe 2.0. You can…