Many of the early applications for the much anticipated Oculus Rift VR rig have been in gaming. But it’s interesting to see some more useful applications besides gaming, before it’s commercial release sometime this year. [JoLau] at the Institute i4Ds of FHNW School of Engineering wanted to go a step beyond rendering virtual worlds. So he built the Intuitive Rift Explorer a.k.a IRE. The IRE is a moving reality system consisting of a gimbaled stereo-vision camera rig transmitting video to the Rift, and matching head movements received from the Oculus Rift. The vision platform is mounted on a Remote-controlled robot which is completely wireless.
One of the big challenges with using VR headsets is lag, causing motion sickness in some cases. He had to tackle the problem of latency – reducing the time from moving the head to getting a matching image on the headset – Oculus Rift team specified it should be less than 20ms. The other important requirement is a high frame rate, in this case 60 frames per second. [JoLau] succeeded in overcoming most of the problems, although in conclusion he does mention a couple of enhancements that he would like to add, given more time.
[JoLau] provides a detailed description of the various sub-systems that make up IRE – the Stereo camera, audio and video transmission, media processing, servo driven gimbal for the stereo camera, and control system code. [JoLau]’s reasoning on some of the interesting hardware choices for several components used in the project makes for interesting reading. Watch a video of the IRE in action below.





[Val] cast rays from the center of each wall through the center of the screen. The ray which was longest before intersecting another wall would be the best escape route. This simple solution worked, but only for about 40 seconds. At that point, Super Hexagon would start throwing more complex patterns, and the AI would fail. The final solution was to create an accessibility condition which also took into account how much space was available between the various approaching walls. This new version of the AI was able to beat the game.
