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Search Publications by: Elena Messina (Assoc)

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Displaying 201 - 225 of 298

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