Underwater Vehicles Based on Biological Intelligence

Abstract

This article discusses various aspects of underwater vehicles based on biological intelligence. Recent advances in biomimetics have made it feasible to integrate underwater robots that capture the performance advantages of their animal model. In the biomimetic robots, neurons and synapses are represented as structures, and the equations for each element are updated asynchronously at discrete times in a run-time loop. Search vectors composed of a heading and a distance monitored by a compass and visual odometry can organize the autonomous behavior of the vehicles, and these supervisory commands can be transmitted to the vehicle via sonar by a human operator or random search algorithm. The biological intelligence system that is being researched and developed can mediate supervised reactive autonomy through neuronal integrative processes in networks. The networks of biological intelligence represent a viable alternative to the algorithms of artificial intelligence in the achievement of robotic autonomy.