The ability for a robot to identify objects and obstacles alike within a satisfactory degree of accuracy is pertinent in the advancement of bionics and all forms of robotics that try to successfully mimic their real-life counterparts. This has inspired various forms of research from image processing sensor networking and the likes. One of such research is presented in this paper. It aims at presenting information on the development design and outcomes of a robotic swarm fish eye. The fish eye comprises four infrared sensors place on each side of the underwater robot. It gives distance and rough position of other robots in the swarm to be able to make decisions bases on the positional data and the swarm goal.