Our brief was to visualise AXL’s learning process, from post-crash reboot through to more sophisticated data processing and emotional connection. The aim was to depict this evolution from functional machine to a more emotionally intelligent AI.
Drawing references from the LiDAR technology used by autonomous cars and robots, we were able to ground the POV in credible technology that played into the narrative. Our UI refernces LiDAR’s 3D point clouds, providing data about range, reflectance, density and spatial structure.
We created a visual system that charted AXL’s progress by beginning with basic black and white point clouds and moves to more sophisticated horizontal and Z-scans that more accurately map faces and moving objects.
Using Andrew Gant’s scans we added textural layers and colour gradation to refine look and feel, and contextual UI layers as a human / computer interface to help the audience understand the robots ‘thought’ process.