Final report for LDRD project 11-0783 : directed robots for increased military manpower effectiveness. Metadata
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Title
- Main Title Final report for LDRD project 11-0783 : directed robots for increased military manpower effectiveness.
Creator
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Author: Rohrer, Brandon RobinsonCreator Type: Personal
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Author: Rothganger, Fredrick H.Creator Type: Personal
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Author: Wagner, John S.Creator Type: Personal
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Author: Xavier, Patrick GordonCreator Type: Personal
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Author: Morrow, James DanCreator Type: Personal
Contributor
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Sponsor: United States. Department of Energy.Contributor Type: Organization
Publisher
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Name: Sandia National LaboratoriesPlace of Publication: United States
Date
- Creation: 2011-09-01
Language
- English
Description
- Content Description: The purpose of this LDRD is to develop technology allowing warfighters to provide high-level commands to their unmanned assets, freeing them to command a group of them or commit the bulk of their attention elsewhere. To this end, a brain-emulating cognition and control architecture (BECCA) was developed, incorporating novel and uniquely capable feature creation and reinforcement learning algorithms. BECCA was demonstrated on both a mobile manipulator platform and on a seven degree of freedom serial link robot arm. Existing military ground robots are almost universally teleoperated and occupy the complete attention of an operator. They may remove a soldier from harm's way, but they do not necessarily reduce manpower requirements. Current research efforts to solve the problem of autonomous operation in an unstructured, dynamic environment fall short of the desired performance. In order to increase the effectiveness of unmanned vehicle (UV) operators, we proposed to develop robots that can be 'directed' rather than remote-controlled. They are instructed and trained by human operators, rather than driven. The technical approach is modeled closely on psychological and neuroscientific models of human learning. Two Sandia-developed models are utilized in this effort: the Sandia Cognitive Framework (SCF), a cognitive psychology-based model of human processes, and BECCA, a psychophysical-based model of learning, motor control, and conceptualization. Together, these models span the functional space from perceptuo-motor abilities, to high-level motivational and attentional processes.
- Physical Description: 14 p.
Subject
- Keyword: Manpower
- Keyword: Computer Architecture
- Keyword: Manipulators
- STI Subject Categories: 99 General And Miscellaneous//Mathematics, Computing, And Information Science
- Keyword: Functionals
- Keyword: Robots
- Keyword: Motors
- Keyword: Algorithms
- Keyword: Learning
- Keyword: Performance
Collection
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Name: Office of Scientific & Technical Information Technical ReportsCode: OSTI
Institution
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Name: UNT Libraries Government Documents DepartmentCode: UNTGD
Resource Type
- Report
Format
- Text
Identifier
- Report No.: SAND2011-7348
- Grant Number: AC04-94AL85000
- DOI: 10.2172/1029758
- Office of Scientific & Technical Information Report Number: 1029758
- Archival Resource Key: ark:/67531/metadc843146