SBIR/STTR Research Award

Adaptable/ Reusable Hardware/Software Architectures and Components for Future Combat System Automated Resupply

Award identifier 6c7dff004c8dab8a633781abea2a8fb9827d648f7d6ed30068805168d0d24a56Awarding agency Department of Defense · Army

Award amount

$729,992

Program and phase

SBIR · Phase II

Award year

2004

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
ROBOTICS RESEARCH CORP.
Proposal award date
2003-11-21
Contract end date
2005-11-21
UEI
Not reported
Solicitation number
2002.2
Topic code
A02-018

Research abstract

The US Army has a mandate to advance the material handling, re-supply and logistics automation technology to support Future Combat System (FCS) applications. There is an immediate need to reduce the workload and manpower requirements, and expedite the distribution of ammunition shipments through the in-theater storage areas to the combat end users. To support this initiative, this program will develop and implement the enabling component technologies required for highly autonomous, configured load building. By extending the autonomy of robotic field material handling equipment through the integration of sensor driven, intelligent controls, the efficiency and expedition of forward supply operations will be significantly increased. RRC established that through the application of sensor technologies and advanced robotic control, an existing manual material handling system could be modified to perform many tasks autonomously. RRC incorporated new hardware and software controls to the Smart Crane Ammunition Transfer System to demonstrate this capability. The Smart Crane employs an integrated set of core component technologies, which are reusable and adaptable for deployment throughout the military's material handling domain. The Smart Crane uses a shared control approach, whereby an operator can perform material handling tasks via manual teleoperation or by executing several autonomous strategies for crane control operation. The greatest impact to increasing operational efficiency and throughput in material handling operations will be achieved by advancing the autonomy of the system, thereby promoting the operator to a supervisory role. This program will develop the hardware and software components that advance the automation of three requisite material handling activities that are the most time consuming and require the highest level of operator involvement; munitions payload acquisition, payload placement, and payload release. With these enabling component technologies in hand, the program will develop and implement the infrastructure to coordinate these capabilities to demonstrate highly autonomous, configured load building. This program builds on technology previously developed for the Army by RRC and others and will provide the Army with a suite of reusable and adaptable hardware and software components that can be applied to a broad range of existing field material handling systems.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.