Semantic World Modeling for Robots

About the Research

This research develops knowledge representation and reasoning methods that enable robots to understand their environment in semantic terms, where "semantics" may apply to space, time, causality, commonsense knowledge, communication with humans, etc. The focus is on robots in the Army domain; of particular interest is the possibility of adapting existing information and knowledge resources (e.g. representation languages, reasoners, existing ontologies and knowledge bases) to Army needs.

• Ontologies for autonomous robots
• Efficient reasoning algorithms
• Knowledge acquisition from existing data sources
• High-level reasoning under uncertainty
• Qualitative reasoning for robots
• Commonsense reasoning for robots
• Experimentation and validation methods in robotics

About CISD

The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the so-called digital battlefield. Problems address the sensing, distribution, analysis, and display of information in the modern battle space. CISD research focuses on four major areas: communications, atmospheric modeling, battlefield visualization, and computing.

About ARL-RAP

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.

A Complete Application Includes:

• Curriculum Vitae or Resume
• Three References Forms
• Transcripts

Research Proposal

If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for:

• Research topic should relate to a specific opportunity at ARL (see Research Areas)
• The objective of the research topic should be clear and have a defined outcome
• Explain the direction you plan to pursue
• Include expected period for completing the study
• Include a brief background such as preparation and motivation for the research
• References of published efforts may be used to improve the proposal

Questions About This Opportunity?

Please email ARLFellowship@orau.org

Requirements

• Citizenship: U.S. Citizen Only
• Degree: Bachelor's Degree, Master's Degree, or Doctoral Degree.
• Academic Level(s): Any academic level.
• Discipline(s): Computer, Information, and Data Sciences (2 )
• Age: Must be 18 years of age