Synthetic Perception

Synthetic (robotic) vision

The SYCLOP perceiver

Our lab-developed robotic perceiver, the SYCLOP, is composed of an event-based camera (sensitive to luminance transitions in each pixel) that is installed on a mount with horizontal and vertical rotating motors, all integrated within a programmable closed loop system.

The SYCLOP is designed to employ active sensing – its camera’s sensors are silent when both the camera and the environment are static.

Our synthetic experiments are designed to test:

  1. what can and what cannot work in a simple active perceiver
  2. how can feasible perceptual schemes be physically implemented.

The closed loop architecture is flexible; we are currently evolving this system in an inside-out manner, by adding novel loops that address novel challenges. The lowest-order loops of SYCLOP are designed to ‘perceive’ basic local visual features such as the contrast, orientation and curvature of an edge, as well as motion. A CLP model of contrast has already been implemented in such a loop; a basic level of motion perception, smooth pursuit, emerged in this this loop without any explicit design.

Next, we will implement object and motion perception.


Relevant papers

  • Ahissar, A; Assa, E (2016). Perception as a closed-loop convergence process.  eLife. 5.


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