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| 85 |
Towards Collaboration with Robots in Shared Space: Spatial Perspective and Frames of Reference
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In: DTIC (2005)
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Abstract:
Imagine mobile robots of the future working side by side with humans, collaborating in a shared workspace. For this to become a reality, robots must be able to do something that humans do constantly: understand how others perceive space and the relative positions of objects around them -- they need the ability to see things from another person's point of view. The authors' research group and others are building computational, cognitive, and linguistic models that can deal with frames of reference. Issues include dealing with constantly changing frames of reference, changes in spatial perspective, understanding what actions to take, the use of new words, and common ground. Their approach is an implementation informed by cognitive and computational theories. It is based on developing computational cognitive models (CCMs) of certain high-level cognitive skills humans possess that are relevant for collaborative tasks. They then use these models as reasoning mechanisms for their robots. Why do they propose using CCMs as opposed to more traditional programming paradigms for robots? They believe that by giving the robots similar representations and reasoning mechanisms to those used by humans, they will build robots that act in a way that is more compatible with humans. ; Pub. in Interactions, p22-24, Mar-Apr 2005.
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Keyword:
*ARTIFICIAL INTELLIGENCE; *COGNITION; *COMPUTATIONAL COGNITIVE MODELS; *HUMAN-ROBOT INTERACTIONS; *HUMANS; *INTERACTIONS; *PERCEPTION(PSYCHOLOGY); *PERSPECTIVE TAKING; *ROBOTS; *VISUAL PERCEPTION; COLLABORATIVE TECHNIQUES; COMPUTER PROGRAMMING; Computer Programming and Software; Cybernetics; DECISION MAKING; FRAMES OF REFERENCE; HUMAN-LEVEL COGNITIVE SKILLS; LEARNING MACHINES; LINGUISTICS; MOBILITY; PROBLEM SOLVING; Psychology; REASONING; REPRINTS; ROBOTICS; SHARED SPACE; SPATIAL PERSPECTIVE; SPATIAL REASONING
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA480177
http://www.dtic.mil/docs/citations/ADA480177
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| 87 |
Human Language Technology: Opportunities and Challenges
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In: DTIC (2005)
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| 89 |
Una aproximación multilingüe a la clasificación de preguntas basada en aprendizaje automático
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| 90 |
Automatic text categorisation of racist webpages
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Greevy, Edel. - : Dublin City University. School of Computing, 2004
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In: Greevy, Edel (2004) Automatic text categorisation of racist webpages. Master of Science thesis, Dublin City University. (2004)
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| 91 |
Analysis of Statistical Question Classification for Fact-based Questions
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In: http://ciir.cs.umass.edu/pubfiles/ir-323.pdf (2004)
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| 92 |
Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis
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In: DTIC (2004)
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| 93 |
Semantic Role Labeling via Integer Linear Programming Inference
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In: DTIC (2004)
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| 94 |
Learning to Identify TV News Monologues by Style and Context
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In: DTIC (2003)
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| 95 |
Linguistic Resource Creation for Research and Technology Development: A Recent Experiment
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In: DTIC (2003)
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| 96 |
Word-level Alignment for Multilingual Resource Acquisition
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In: DTIC (2002)
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| 97 |
Early Pragmatic Language Development for an Infant Robot
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In: DTIC (2002)
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| 100 |
Intelligent Record Linkage Techniques Based on Information Retrieval, Natural Language Processing, and Machine Learning
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In: DTIC AND NTIS (2002)
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