Draper Laboratory is an American not-for-profit research and development organization, headquartered in Cambridge, Massachusetts; its official name is "The Charles Stark Draper Laboratory, Inc". The laboratory specializes in the design, development, and deployment of advanced technology solutions to problems in national security, space exploration, health care and energy.The laboratory was founded in 1932 by Charles Stark Draper at the Massachusetts Institute of Technology to develop aeronautical instrumentation, and came to be called the "MIT Instrumentation Laboratory". It was renamed for its founder in 1970 and separated from MIT in 1973 to become an independent, non-profit organization.The expertise of the laboratory staff includes the areas of guidance, navigation, and control technologies and systems; fault-tolerant computing; advanced algorithms and software solutions; modeling and simulation; and microelectromechanical systems and multichip module technology. Wikipedia.
Zanetti R.,Charles Stark Draper Laboratory
IEEE Transactions on Automatic Control | Year: 2012
Nonlinear filters are often very computationally expensive and usually not suitable for real-time applications. Real-time navigation algorithms are typically based on linear estimators, such as the extended Kalman filter (EKF) and, to a much lesser extent, the unscented Kalman filter. This work proposes a novel nonlinear estimator whose additional computational cost is comparable to (N-1) EKF updates, where N is the number of recursions, a tuning parameter. The higher N the less the filter relies on the linearization assumption. A second algorithm is proposed with a differential update, which is equivalent to the recursive update as N tends to infinity. © 2011 IEEE. Source
Agency: Department of Defense | Branch: Air Force | Program: STTR | Phase: Phase I | Award Amount: 149.94K | Year: 2015
ABSTRACT: To complement capabilities of future autonomous systems, the Air Force requires interoperable tools & methodologies to design, verify, validate, assess & operate human-machine system interactions associated with autonomous and manned systems integration. Often the human performance measures and status of each simulation is reported independently making it challenging to analyze the data. What is needed is an approach that has the ability to interface with multiple sources of data from these simulations, aggregate and display them in a common display picture for real-time status and after action review (AAR). Building upon the teams current research into creating a common interface with the capability to process and visualize data from multiple sources and Perducos ongoing research into an open architecture data structure for the gathering, aggregating, storing, analysis, and reporting of human performance data. The Perduco Group has teamed with the Charles Draper Laboratory to demonstrate a front end visualization and data storage methodology to interface with the simulation analytics. This program will demonstrate a methodology and architecture with the capability to receive, store, analyze, and visualize simulation data.; BENEFIT: The most applicable market and commercial application is in aviation simulation and training. The need that this will address is the ability to collect and store performance data from multiple simulators/inputs in a single system for analysis and reporting.
Charles Stark Draper Laboratory | Date: 2015-10-19
A non-contiguous group of cells in a battery of cells is selected for charging or discharging the battery.
Charles Stark Draper Laboratory | Date: 2015-10-06
This disclosure provides systems, methods, and apparatus for intercepting a moving target by a plurality of interceptors that individually have insufficient capability to achieve intercept. An electronic processor can receive information corresponding to a state of the moving target at a first time. The electronic processor can determine a plurality of hypotheses for the future maneuvers of the moving target. The hypotheses can be based in part on the state of the moving target at the first time and the location of any defended assets. The electronic processor can assign a respective target maneuver hypothesis or set of hypotheses to each of a plurality of interceptors. The electronic processor can assign firing times and/or initial guidance commands to each interceptor. The electronic processor can update the set of feasible hypotheses based on additional receipt of information on the motion of the target and communicate this information to interceptors in flight via a communication subsystem. The electronic processor, or a secondary electronic processor located on each interceptor, can control each interceptor to maneuver such that the moving target is intercepted, based on the respective target maneuver hypotheses.
Charles Stark Draper Laboratory | Date: 2015-08-06
A star tracker determines a location or orientation of an object, such as a space vehicle, by observing unpolarized light from one or more stars or other relatively bright navigational marks, without imaging optics, pixelated imaging sensors or associated pixel readout electronics. An angle of incidence of the light is determined by comparing signals from two or more differently polarized optical sensors. The star tracker may be fabricated on a thin substrate. Some embodiments have vertical profiles of essentially just their optical sensors. Some embodiments include micro-baffles to limit field of view of the optical sensors.