A Robotic vision system emulating fixational eye movements and retinal sampling
Takanori Yotsumoto, Yuki Hayashida, Shinsuke Yasukawa · Proceedings of International Conference on Artificial Life and Robotics · 2022
Recent studies on visual physiology have suggested that fixational eye movements contribute to the information processing function of the retina.In this study, we built a robotic vision system that emulates the characteristics of fixational eye movements and retinal sampling as an assistant tool for clarifying information processing through the collaboration of eye movements and neural circuits.The proposed robotic vision system consists of two galvanometers, a field-programmable gate array (FPGA) board, and a high-speed, high-resolution camera.We measured the frequency response of this robotic vision system, and the results showed that the system satisfied the requirements for emulating the frequency characteristics of biological eye movements.In addition, we generated command signals in the FPGA to emulate biological eye movements and confirmed the satisfactory operation of the system.