The National Institute of Standards and Technology's (NIST) Intelligent Systems Division (ISD) is working with the material handling industry, specifically on automated guided vehicles, to develop next generation vehicles. ISD is also a participant in the Defense Advanced Research Project Agency (DARPA) Learning Applied to Ground Robots (LAGR) Project embedding learning algorithms into the modules that make up the Four Dimensional/Real- Time Control System (4D/RCS). 4D/RCS is the standard reference model architecture which ISD has applied to control many intelligent systems. Technology from LAGR is being transferred to the material handling industry through the NIST Industrial Autonomous Vehicles Project. This paper describes the 4D/RCS structure and control applied to LAGR and the transfer of this technology through a demonstration to the automated guided vehicles industry.
Unstructured Facility Navigation by Applying the NIST 4D/RCS Architecture
2006
7 pages
Report
No indication
English
Computer Software , Computers, Control & Information Theory , Laboratory & Test Facility Design & Operation , Optical Detection , Human Factors Engineering , Transportation , Navigation Systems , Tooling, Machinery, & Tools , Robotics , Computer architecture , Materials handling , Control systems , Real time , Self operation , Navigation , Robots , Time , Embedding , Vehicles , Architecture , Learning , Inertial measurement units , Facilities , Models , Industries , Symposia , Reprints , Ground level , Algorithms , Control , Lagr(Learning applied to ground robots) , 4d/rcs(Four dimensional/real time control system) , Agv(Automated ground vehicles) , Hierarchical control , Reference model architecture , Industrial autonomous vehicles , Rfid(Radiofrequency identification) , Ocu(Operator control unit) , Imu(Inertial measurement units)
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