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Search Publications by: Elena Messina (Assoc)

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Displaying 101 - 125 of 149

Evolution of a Performance Metric for Urban Search and Rescue Robots (2003)

August 18, 2003
Author(s)
Adam S. Jacoff, Brian Weiss, Elena R. Messina
This paper discusses the advancement and proliferation of the Reference Test Arenas for Urban Search and Rescue Robots as representative search and rescue environments, which allow objective performance evaluation of mobile robot capabilities. These arenas

Quantifying Uncertainty Towards Information-Centric Unmanned Navigation

August 18, 2003
Author(s)
Rajmohan (. Madhavan, Elena R. Messina
Highly imperfect, inconsistent information and incomplete a priori knowledge introduce uncertainty in sensor-centric unmanned navigation systems. Understanding and quantifying uncertainty yields a measure of useful information that plays a critical role in

Toward a Generic Model for Autonomy Levels for Unmanned Systems (ALFUS)

August 18, 2003
Author(s)
Hui-Min Huang, Elena R. Messina, James S. Albus
Unmanned systems (UMSs) have been deployed to military and civilian operations. UMSs vary widely in their capabilities andcivilian operations. UMSs vary widely in their capabilities and purposes. It would be beneficial to have a set of widely recognized

Iterative Registration of 3D LADAR Data for Autonomous Navigation

June 1, 2003
Author(s)
Rajmohan Madhavan, Elena R. Messina
This paper describes an iterative algorithm for registration of 3D LADAR data. The proposed approach is iconic in nature with suitable modifications to deal with false/spurious matches, occlusions and outliers. Experimental results using data obtained from

Software Engineering for Intelligent Control Systems

November 1, 2002
Author(s)
Tony Barbera, Elena R. Messina, Hui-Min Huang, Craig I. Schlenoff, Stephen B. Balakirsky
Understanding how humans manage information and carry out actions provides a foundation for the software engineering of intelligent control systems. The Real-time Control System (RCS) design methodology and reference architecture, founded on human

Knowledge Engineering for Real Time Control

October 30, 2002
Author(s)
John Evans, Elena R. Messina, James S. Albus, Craig I. Schlenoff
The key to real-time intelligent control lies in the knowledge models that the system contains. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages

Knowledge Engineering for Real Time Intelligent Control

September 18, 2002
Author(s)
John Evans, Elena R. Messina, James S. Albus
The key to real-time intelligent control lies in the knowledge models that the system contains. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages

Knowledge Engineering for Real-Time Intelligent Control

September 1, 2002
Author(s)
John Evans, Elena R. Messina, James S. Albus, Craig I. Schlenoff
The key to real-time intelligent control lies in the knowledge models that the system contains. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages

4D/RCS Version 2.0: A Reference Model Architecture for Unmanned Vehicle Systems

August 22, 2002
Author(s)
James S. Albus, Hui-Min Huang, Elena R. Messina, Karl Murphy, Maris Juberts, Alberto Lacaze, Stephen B. Balakirsky, Michael O. Shneier, Tsai H. Hong, Harry A. Scott, Frederick M. Proctor, William P. Shackleford, John L. Michaloski, Albert J. Wavering, Thomas Kramer, Nicholas Dagalakis, William G. Rippey, Keith A. Stouffer, Steven Legowik
The 4D/RCS architecture provides a reference model for military unmanned vehicles on how their software components should be identified, organized, and interacting such that missions, especially those involving unknown or hostile environments, can be

A Simulation Framework for Evaluating Mobile Robots

August 15, 2002
Author(s)
Stephen B. Balakirsky, Elena R. Messina
As robotic technologies mature, we are moving from simple systems that roam our laboratories to heterogeneous groups of systems that operate in complex non-structured environments. The novel and extremely complex nature of these autonomous systems

A Hierarchical World Model for an Autonomous Scout Vehicle

April 5, 2002
Author(s)
Stephen B. Balakirsky, Tommy Chang, Tsai H. Hong, Elena R. Messina, Michael O. Shneier
This paper describes a world model that combines a variety of sensed inputs and a priori information and is used to generate on-road and off-road autonomous driving behaviors. The system is designed in accordance with the principles of the 4D/RCS

Architecting a Simulation and Development Environment for Multi-Robot Teams

March 20, 2002
Author(s)
James S. Albus, Stephen B. Balakirsky, Elena R. Messina
Collaborative multi-robot teams have great potential to add capabilities and minimize risk within the military domain. The composition of these teams may range from multiple copies of the same model to heterogeneous ground, air, and water vehicles

Performance Evaluation of Autonomous Mobile Robots

February 1, 2002
Author(s)
Adam S. Jacoff, Elena R. Messina, John Evans
The National Institute of Standards and Technology (NIST) has initiated a program to develop quantitative metrics for machine intelligence. One of the possible approaches to evaluating machine intelligence is task-based performance testing, like a mouse in

An Intelligent Systems Architecture for Manufacturing (ISAM); A Reference Model Architecture for Intelligent Manufacturing Systems

January 1, 2002
Author(s)
James S. Albus, John A. Horst, Hui-Min Huang, Thomas Kramer, Elena R. Messina, Alex Meystel, John L. Michaloski, Frederick M. Proctor, Harry A. Scott, Edward J. Barkmeyer Jr., M. K. Senehi
The Intelligent Systems Architecture for Manufacturing (ISAM) addresses the application of intelligent systems to the manufacturing enterprise at three degrees of abstraction: 1) a conceptual framework for developing metrics, standards, and performance

Evaluating Knowledge and Representation for Intelligent Control

September 4, 2001
Author(s)
Elena R. Messina, John Evans, James S. Albus
Knowledge and the way it is represented have a tremendous impact on the capabilities and performance of intelligent systems. There is evidence from studies of human cognitive functions that experts use multiple representations in problem solving tasks and

Experiences in Deploying Test Arenas for Mobile Autonomous Robots

September 4, 2001
Author(s)
Adam S. Jacoff, Elena R. Messina, John Evans
The National Institute of Standards and Technology has created a set of reference test arenas for evaluating the performance of mobile autonomous robots performing urban search and rescue tasks. The arenas are intended to help accelerate the robotic

Measuring Performance and Intelligence of Intelligent Sytems White Paper 2001

August 4, 2001
Author(s)
Elena R. Messina, Alex Meystel, Larry H. Reeker
Is the measurement of performance for intelligent systems different than that of non-intelligent systems? In this white paper, we explore the various dimensions of evaluation of intelligence and performance. The main areas we tackle are the testing of

A Feature-Based Inspection and Machining System

August 1, 2001
Author(s)
Thomas R. Kramer, Hui-Min Huang, Elena R. Messina, Frederick M. Proctor, Harry A. Scott
This paper describes an architecture for a system for machining and inspectingmechanical piece parts and an implementation of it called the Feature-BasedInspection and Control System (FBICS). In FBICS, the controller of a machiningcenter or coordinate

Analysis of Dimensional Metrology Standards

June 1, 2001
Author(s)
Thomas R. Kramer, John Evans, Simon P. Frechette, John A. Horst, Hui-Min Huang, Elena R. Messina, Frederick M. Proctor, William G. Rippey, Harry A. Scott, Theodore V. Vorburger, Albert J. Wavering
This is an analysis of standards related to dimensional metrology, with recommendations regarding standards development. The analysis focuses on the degree to which existing and developing standards provide a complete set of non-overlapping specifications
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