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Information in Command and Control: Connecting Mission Command and Social Network Analysis (Briefing Charts)
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In: DTIC (2014)
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Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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Maritime Domain Awareness via Agent Learning and Collaboration
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In: DTIC (2010)
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Towards Real-time Program Awareness via Lexical Link Analysis
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In: DTIC (2010)
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Towards Commanding Unmanned Ground Vehicle Movement in Unfamiliar Environments Using Unconstrained English: Initial Research Results
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In: DTIC (2007)
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Abstract:
Sensemaking in the 21st century C2 environment will be critical not only for soldiers but also for autonomous equipment. Sensemaking by humans entails understanding the meaning and import of information, often conveyed via natural human language, about events and objects in the battlespace. Analogous sensemaking in autonomous and semi-autonomous UGVs requires cognitive robotics, i.e. the ability to link human language and concepts to robot perception and object recognition. Advanced sensemaking in UGVs would allow soldiers to send such equipment through urban environments using the same verbal instructions they would give another soldier. A robust natural language-based sensemaking capability in UGVs could also contribute information about the battlespace to the Global Information Grid while requiring few or no services in return. Recent work by Haas and Shimizu has demonstrated the ability of a simulated robot to respond correctly and without additional guidance to naively-produced navigational commands (expressed in unconstrained English) with ~80% accuracy. Our current work extends this approach to natural language processing into physical robots, introducing uncertainties of sensor perception, object recognition and language-to-environment mapping. The goal of this research is to quantify accuracy for a simple indoor environment and then more complicated environments, characterizing sources of error and identifying strategies to reliably overcome them. ; Presented at the International Command and Control Research and Technology Symposium (12th) held in Newport, RI on 19-21 Jun 2007. Prepared in collaboration with State University of New York, Albany, NY. Document contains briefing charts in addition to text. The original document contains color images.
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Keyword:
*COMMAND GUIDANCE; *ENGLISH LANGUAGE; *GROUND VEHICLES; *UGV(UNMANNED GROUND VEHICLES); *UNMANNED; AUTONOMOUS NAVIGATION; BRIEFING CHARTS; COMMAND AND CONTROL SYSTEMS; Cybernetics; NATURAL LANGUAGE; OBJECT RECOGNITION; ROBOTICS; SELF OPERATION; SENSEMAKING; SYMPOSIA; Unconventional Warfare; URBAN AREAS
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URL: http://www.dtic.mil/docs/citations/ADA481414 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA481414
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Work-Centered Approach to Insurgency Campaign Analysis
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In: DTIC (2007)
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From Unstructured to Structured Information in Military Intelligence - Some Steps to Improve Information Fusion
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In: DTIC (2004)
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The Case for Using Semantic Nets as a Convergence Format for Symbolic Information Fusion
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In: DTIC AND NTIS (2004)
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Multi-modal Interfacing for Human-Robot Interaction
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In: DTIC AND NTIS (2001)
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