Accession Number : ADP006343

Title :   AI for RPVs, Sensor Driven Airborne Replanner (SDAR), for a Robotic Aircraft Sensor Platform (RASP),

Corporate Author : NAVAL AIR DEVELOPMENT CENTER WARMINSTER PA

Personal Author(s) : Williams, R. M. ; Davidson, J. J.

Report Date : SEP 1991

Pagination or Media Count : 6

Abstract : This report describes the Robotic Aircraft Sensor Platform (RASP) simulation developed at the Naval Air Development Center in Warminster, PA. It is extracted from the final report of a three year research effort into the architectures needed to develop real time Artificial Intelligence (AI) techniques for autonomous aircraft. A hardware and associated software architecture has been developed to use on-board sensor information for high level AI decision making. The decisions then direct the flight path of the aircraft and camera gimbal through complex environments. This project has produced a system architecture that breaks the bottleneck of flyable real-time AI control systems. The work has transitioned into three new efforts; a flight test effort for the Unmanned Air Vehicle Joint Program Office, an investigation into use of SDAR for novel systems of sensors and platforms such as the Tactical Imaging System, and a study of applying this technology to manned platforms to assist human operators.

Descriptors :   AIRBORNE, AIRCRAFT, ARTIFICIAL INTELLIGENCE, CAMERAS, COMPUTER ARCHITECTURE, COMPUTER PROGRAMS, CONTROL SYSTEMS, DECISION MAKING, DETECTORS, ENVIRONMENTS, FLIGHT PATHS, FLIGHT TESTING, GIMBALS, IMAGES, MANNED, ONBOARD, OPERATORS(PERSONNEL), PLATFORMS, REAL TIME, ROBOTICS, SELF OPERATION, SIMULATION.

Subject Categories : Pilotless Aircraft
      Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE