SBIR-STTR Award

Autonomous Tasking of ISR Systems Using Intelligent Agents
Award last edited on: 10/11/02

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$624,977
Award Phase
2
Solicitation Topic Code
AF99-066
Principal Investigator
David Martin

Company Information

Attotek Incorporated

415 South Main Street Suite 101
Culpeper, VA 22701
   (540) 825-1166
   dmartin@attotek.com
   N/A
Location: Single
Congr. District: 07
County: Culpeper

Phase I

Contract Number: F29601-99-C-0112
Start Date: 6/1/04    Completed: 4/10/00
Phase I year
1999
Phase I Amount
$88,826
The objective of this Phase I proposal is to demonstrate the feasibility of automating the tasking and reporting of Intelligence, Surveillance and Reconnaissance (ISR) assets in real-time. These ISR assets consist of multiple sensors onboard space, air, sea and land-based platforms performing cooperative, multi-INT, cross-program ISR activities. To achieve this objective and overcome the inherent information and time latencies of centralized, ground-based processing and control architectures, these autonomous agents will be installed onboard individual ISR platforms and be given the capability to (1) detect and recognize events, (2) monitor the state of the ISR environment, (3) make intelligent, autonomous decisions and (4) re-task their ISR assets. To provide autonomous tasking capability, the algorithms will provide a multi-tiered, cross-program decision process and demonstrate robustness, fault-tolerance and a comprehensive status monitoring capability

Phase II

Contract Number: F29601-00-C-0031
Start Date: 3/1/00    Completed: 5/15/01
Phase II year
2000
Phase II Amount
$536,151
The objective of this research proposal is to demonstrate the feasibility of automating the tasking of Intelligence, Surveillance and Reconnaissance (ISR) assetts in real-time. These ISR assetts consist of multiple sensors onboard space, air, sea and land-based platforms performing cooperative, multi-INT, cross-program ISR activities. To achieve this objective and overcome the inherent information and time latencies of centralized, ground-based processing and control architectures, these autonomous agents will be given the capability to (1) detect and recognize events, (2) monitor the state of the ISR environment, (3) make intelligent, autonomous decisions and (4) re-task their ISR assetts. To provide this autonomous tasking capability, the algorithms will provide a multi-tiered, cross-program decision process that can incorporate real-time feedback and external observations of target state, collector performance, and environmental effects.

Keywords:
COOPERATIVE ISRGEOLOCATION RESOURCE ALLOCATION SIGINT