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Search Publications by: Ann Virts (Fed)

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Displaying 26 - 45 of 45

Using Competitions to Advance the Development of Standard Test Methods for Response Robots

May 17, 2012
Author(s)
Adam S. Jacoff, Raymond Sheh, Ann Virts, Tetsuya Kimura, Johannes Pellenz, Soren Schwertfeger, Jackrit Suthakorn
Competitions are an effective aid to the development and dissemination of standard test methods, especially in rapidly developing, highly varied fields such as Urban Search and Rescue robotics. By exposing the development process to highly developmental

Emergency Response Robot Evaluation Exercise

March 22, 2012
Author(s)
Adam S. Jacoff, Hui-Min Huang, Ann Virts, Anthony Downs, Raymond Sheh
More than 60 robot test methods are being developed by a team lead by the National Institute of Standards and Technology (NIST) with the sponsorship of U.S. Department of Homeland Security (DHS). These test methods are being specified and standardized

Comprehensive Standard Test Suites for the Performance Evaluation of Mobile Robots

January 31, 2011
Author(s)
Adam S. Jacoff, Hui-Min Huang, Elena R. Messina, Ann M. Virts, Anthony J. Downs
Robots must possess certain sets of capabilities to suit critical operations such as emergency responses. In the mobility function, ground robots must be able to handle many types of obstacles and terrain complexities, including traversing and negotiating

Performance Measurements for Evaluating Static and Dynamic Multiple Human Detection and Tracking Systems in Unstructured Environments

June 30, 2010
Author(s)
Bodt Bodt, Richard Camden, Harry A. Scott, Adam S. Jacoff, Tsai H. Hong, Tommy Chang, Richard J. Norcross, Anthony Downs, Ann Virts
The Army Research Laboratory (ARL) Robotics Collaborative Technology Alliance (CTA) conducted an assessment and evaluation of multiple algorithms for real-time detection of pedestrians in Laser Detection and Ranging (LADAR) and video sensor data taken from

Evaluating Speech Translation Systems: Applying SCORE to TRANSTAC Technologies

September 29, 2009
Author(s)
Craig I. Schlenoff, Brian A. Weiss, Michelle P. Steves, Gregory A. Sanders, Frederick M. Proctor, Ann M. Virts
The Spoken Language Communication and Translation System for Tactical Use (TRANSTAC) program is a Defense Advanced Research Projects Agency (DARPA) advanced technology research and development program. The goal of the TRANSTAC program is to demonstrate

Stepfield Pallets: Repeatable Terrain for Evaluating Robot Mobility

December 31, 2008
Author(s)
Adam S. Jacoff, Anthony J. Downs, Ann M. Virts, Elena R. Messina
Stepfield pallets are a fabricated and repeatable terrain for evaluating robot mobility. They were developed to provide emergency responders and robot developers a common mobility challenge that could be easily replicated to capture statistically

Test Methods and Knowledge Representation for Urban Search and Rescue Robots

August 17, 2007
Author(s)
Craig I. Schlenoff, Elena R. Messina, Alan M. Lytle, Brian A. Weiss, Ann M. Virts
In this paper, we described an effort in which NIST is working with FEMA Task Force members to define performance requirements and standard test methods as well as to assess the deployment potential of robots applied to the USAR domain. This process has

Technology Evaluations and Performance Metrics for Soldier-Worn Sensors for ASSIST

January 31, 2007
Author(s)
Brian Weiss, Craig I. Schlenoff, Michael O. Shneier, Ann Virts
The DARPA-funded Advanced Soldier Sensor Information Systems and Technology (ASSIST) project is aimed at developing soldier-worn sensors to increase a soldier s battlefield awareness during humanitarian and combat missions, provide them with data

Overview of the First Advanced Technology Evaluations for ASSIST

January 31, 2006
Author(s)
Craig I. Schlenoff, Brian A. Weiss, Michelle P. Steves, Ann M. Virts, Michael O. Shneier, Michael Linegang
ASSIST (Advanced Soldier Sensor Information Systems Technology) is a DARPA-funded effort whose goal is to exploit soldier-worn sensors to augment the soldier s recall and reporting capability to enhance situation understanding. ASSIST is separated into two