Introductory remarks robust intelligence solicitation
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Introductory Remarks Robust Intelligence Solicitation. Edwina Rissland Daniel DeMenthon, George Lee, Tanya Korelsky, Ken Whang ( The Robust Intelligence Cluster ). Information and Intelligent Systems Division (IIS). Robust Intelligence (RI) Computer vision Robotics

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Introductory Remarks Robust Intelligence Solicitation

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Introductory RemarksRobust Intelligence Solicitation

Edwina Rissland

Daniel DeMenthon, George Lee, Tanya Korelsky, Ken Whang

(The Robust Intelligence Cluster)


Information and Intelligent Systems Division (IIS)

  • Robust Intelligence (RI)

    • Computer vision

    • Robotics

    • Artificial intelligence & cognitive science

    • Human language & communication

    • Computational neuroscience.

  • Human-Centered Computing (HCC)

    • Digital society & technologies; Human computer interaction; and Universal access.

  • Information Integration & Informatics (III)

    • Digital government; Digital libraries & archives; Information, data, and knowledge management; and Science & Engineering information integration and informatics.


Current IIS Solicitation: NSF 06-572(replacing NSF 05-551 & NSF 04-528)

  • Three Core Technical Areas:

    • Robust Intelligence (RI)

    • Human-Centered Computing (HCC)

    • Information Integration & Informatics (III)

  • Two Cross-Cutting Technical Areas:

    • Human-Robot (and/or Agents) Interaction (HRI)

    • Information Privacy and Security (IPS)

  • Curriculum Development (IISCD)


NSF 06-572 Solicitation

  • Three classes of proposal:

    • Large projects

      • $900K - $1.8M (5-8 PIs.)

    • Medium projects

      • $450K - $900K (2-4 PIs.)

    • Small projects

      • up to $450K (Single PI)

  • Deadlines:

    • October 19, 2006 for Large projects

    • November 02, 2006 for Medium projects

    • December 06, 2006 for Small projects

  • http://www.nsf.gov/, search for IIS

  • http://www.nsf.gov/cise/iis/about.jsp


What is Robust Intelligence?

  • “…Robust Intelligence (RI) encompasses computational understanding and modeling of the many human and animal capabilities that demonstrate intelligence and adaptability in unstructured and uncertain environments…”

  • Synergistic collaboration and integration of some of the basic elements in AICS, CV, ROB, HCL, and CNS to achieve intelligence and flexibility in reaction to dynamic changing environments.

  • Better performance in unstructured environments.

  • Systems that can learn from experience.


RI Topics - Examples

  • Problem solving architectures that integrate reasoning, motor, perceptual, and language capabilities and that can learn from experience.

  • Hybrid architectures that integrate or combine different methods.

  • Computational models of human cognition, perception, and communication.

  • Novel approaches to long-standing problems in computer vision, language, learning, …

  • Vision systems that capture biological components and capabilities.


RI Topics - Examples

  • Synergistic and collaborative research of innovative and emerging technologies to improve the intelligence, mobility, autonomy, manipulability, adaptability, and interactivity of robotic systems operating in unstructured and uncertain environments

  • Research on intelligent and assistive robotics, neuro-robotics, multi-robot coordination and cooperation, and micro- and nano-robotics

  • Computational approaches and architectures for analyzing, understanding, generating and summarizing speech, text and other communicative forms (e.g., gesture, haptic)


RI Topics - Examples

  • Computational models of meaning, intent, and realization at various levels of language representation

  • Novel approaches to longstanding language processing problems such as speaker and language recognition, machine translation, evaluation metrics, multilingual man-machine communication

  • Computational approaches to language processing for minority language groups, aging, disabled, etc.

  • Functional modeling, theory, and analysis of the computational, representational, and coding strategies of neural systems.

  • Neurally grounded computational approaches to computer vision, robotics, communication, and reasoning


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