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

Introductory RemarksRobust Intelligence Solicitation

Edwina Rissland

Daniel DeMenthon, George Lee, Tanya Korelsky, Ken Whang

(The Robust Intelligence Cluster)


Information and intelligent systems division iis

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

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

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

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

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 examples1

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 examples2

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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