SBIR/STTR Research Award
Autonomous Target Engagement for Multiple Remote Weapon Stations
Award amount
$69,999Program and phase
SBIR · Phase IAward year
2008Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- MOBILE INTELLIGENCE CORP.
- Proposal award date
- 2008-10-31
- Contract end date
- 2009-04-30
- UEI
- Not reported
- Solicitation number
- 2008.2
- Topic code
- A08-045
Research abstract
This project will address critical Army technology shortcomings related to the use of semi autonomous and autonomous weapons platforms under development for the Future Force. Phase I will address "colloborative processes" for autonomous acquisition, track and engagement of targets by integration of an existing Multi Target Tracker with a CDAS Network Enabled Decision Aid Component hosting reuseable software components developed under previous research programs. The resulting application will allow tasking a collection of autonomous unmanned ground systems with an autonomous target “search, acquire, and track” mission and will automate engagement of multiple targets using a distributed decision aid module resident on the robots themselves. It will also provide automated target hand-off to the appropriate shooter for employment of multiple Unmanned Ground Vehicles (UGV) in an MxN shooter-target environment. The demonstration mission is a complete thread from receipt of a Tactical Order from FBCB2, through the Search and Surveillance/Tracking process, determination of the optimal Engagement Course of Action, and execution of the autonomous MxN Shooter-Target Engagement process.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Multi-Agent Automatic Target and Threat Alert and Cueing System (MAATTACS)
- Reusable and Adaptable Cognitive Decision Aids Components For Remote Weapon Stations
- Reusable and Adaptable Cognitive Decision Aids Components For Remote Weapon Stations
- Reusable and Adaptable Cognitive Decision Aids Components For Remote Weapon Stations