LDRD project final report : hybrid AI/cognitive tactical behavior framework for LVC. Page: 5 of 35
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CONTENTS
Acknowledgments........................................................................................................................... 4
Contents .......................................................................................................................................... 5
Figures............................................................................................................................................. 5
1. Introduction................................................................................................................................ 7
1.1 Project O verview ...................................................................................................... . . 7
1.2 Previous T echnology ................................................................................................. 7
1.2.1 Sandia Embodied Agent Simulation Technology......................................... 7
1.2.2 Third-party Technologies.............................................................................. 8
1.3 Summary of Achievements......................................................................................... 9
2 Project Results ........................................................................................................................ 11
2 .1 A nalysis and Scoping .................................................................................................. . . 11
2.2 C onceptual A rchitecture ............................................................................................... 11
2.2 Extensible Path Planning ............................................................................................. 13
2.3 Leveraging Tactical Path Planning Capability in Behavior Modeling ......................... 15
2.4 Scalability ........................................................................................................................ 19
2.5 An Entities and Capabilities Architecture Supporting Fairness ................................... 21
2.6 Enabling Flexible Modeling of Working Memory ...................................................... 23
3. Future Work .............................................................................................................................. 25
4. Conclusions............................................................................................................................... 27
5. References................................................................................................................................ 29
Appendix A: Project-related information ............................................................................... 31
FIGURES
Figure 1: Red Squad paths avoid region visible from watch post, then branch to role-specific
tactical positions. (Model based on Robot Vehicle Range.).................................................... 16
Figure 2: Red squad alters paths in response to Blue guard ..................................................... 17
Figure 3: Blue Robot..................................................................................................................... 17
Figure 4: Blue robot plans to Red robot position communicated by Red UAV (not shown), then
re-plans path from live position when its simulated sensor detects the Red robot............ 18
Figure 5: Red robot jams Blue robot radio and plans evasive path to out-of-sight location;
jamming ends when line-of-sight is lost ................................................................................... 18
Figure 6: Blue robot plans to Red robot location communicated by Red UAV, then re-plans path
to location updated by its own sensor. When there is line-of-sight again, Red robot then jams
Blue robot radio and plans evasive path to out-of-sight location ............................................ 18
Figure 7: Example MainGraph of Modules .............................................................................. 19
Figure 8: Job executed in a worker thread for a given Module .............................................. 205
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Djordjevich, Donna D.; Xavier, Patrick Gordon; Brannon, Nathan Gregory; Hart, Brian E.; Hart, Derek H.; Little, Charles Quentin et al. LDRD project final report : hybrid AI/cognitive tactical behavior framework for LVC., report, January 1, 2012; United States. (https://digital.library.unt.edu/ark:/67531/metadc839509/m1/5/: accessed July 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.