Autonomous Dynamic Path Optimization Navigator

Unmanned underwater vehicles (UUVs) need to navigate around unanticipated obstacles in shallow waters. To meet that need, Physical Optics Corporation (POC) proposes to develop a novel Autonomous Dynamic Path Optimization Navigator (ADPON) system, forreal-time, robust, self-adjusting, intelligent autonomous obstacle avoidance/navigation of UUVs. The ADPON is based on POC's proprietary fast genetic algorithm, which processes signals from on-board obstacle avoidance sonar (OAS) sensors to continuouslyoptimize the navigation path while avoiding both moving and stationary obstacles in shallow waters. This system will perform autonomous obstacle avoidance, accommodating navigation parameter changes such as payload, speed of advance, and even salinity.In Phase I, a preliminary ADPON model will be developed, optimized, and integrated so that the feasibility of the concept can be demonstrated. Phase II will develop a fieldable ADPON prototype, and will address robustness and practical deployment for U.S.Navy UUVs. We will also initiate commercialization efforts for a smooth transition to Phase III. The ADPON is an autonomous path optimizer, with numerous applications in maritime and aerial control, navigation, robotics, and automation, includingintelligent mission planning, communication network scheduling, and network management. ADPON has additional commercial potential in manufacturing automation, scientific exploration, damage assessment, and aircraft security.