Abstract: The relational robotic controller (RRC) is a robotic control devise made up of a stack of relational correlation sequencers (RCS). The RRC controls the tasks (including sound generation, memory storage and retrieval tasks) performed by a robot. The RRC is programmed to perform all tasks relative a self location and identification task, performed by a nodal map, known as the self nodal map, and associated with one of the RCS that make up the RRC. The self-nodal map, operating simultaneously while other nodal maps are performing other tasks, acts as a recording monitor that senses data from pressure transducers, cameras, and microphones, relative to the self of the robot. When a phoneme-sound generating, auditory-microphone, and memory storage and retrieval RCS capability is coupled with a visual-camera capability, a RRC controlled robot may be trained to achieve coordinated camera visualization, memory recall, and verbal communication.