SBIR/STTR Research Award

Autonomous Robotic Vegetation Management Solution For AFIMSC

Award identifier 9d3c5cb49cc86d61577ccb58031b80eb7981b16fe896b2c63af9fd8404dbf832Awarding agency Department of Defense · Air Force

Award amount

$749,971

Program and phase

SBIR · Phase II

Award year

2022

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
Air Force
Recipient company
RENU ROBOTICS CORP
Proposal award date
2022-03-08
Contract end date
2023-03-11
UEI
PEDBN4T6HH49
Solicitation number
X21.1
Topic code
AF211-CSO1

Research abstract

The Department of Defense (DoD) operates hundreds of bases that support the daily operations of units in the Air Force, Army, Navy, and Marine Corps, providing services such as housing, utilities, and grounds maintenance. Currently, $25 billion (B), about 4 percent of DoD’s budget, was allocated to the costs of such services, called base operations support (BOS). A significant portion of that $25B is for vegetation management. Future USAF and DoD budgets are also expected to allocate increasing amounts to solar energy, which will benefit from autonomous mowing. Renubot’s autonomous electric mowing capability will reduce, non-mission critical labor, labor costs, improve safety for field operations and reduce CO2 emissions. The system’s cameras and LiDAR also have the potential to support installation security by monitoring the local operating environment, identifying changes, and providing alerts. Renu Robotics has developed a highly capable system that integrates GPS (with RTK [Real Time Kinematic] positioning), LiDAR and cameras to allow Renubot to position, detect and move around obstacles. Renubot’s onboard sensors provide 1 cm positioning accuracy while Renubot autonomously moves, senses and identifies objects, applies safety measures, and continuously reports on progress and operational health. Renubot can be fully managed remotely, operating on a preset schedule or real-time direction. This flexibility allows operators to avoid compromise of other missions such as aircraft operations. While automated mowing systems have begun to appear for retail customers, they are not suited to large-scale or controlled area use. Those currently available generally require perimeter wires, which induce performance issues related to placement or movement of the wires. They have limited ability to avoid obstacles, an issue Renubot’s LiDAR and cameras eliminate. Renubot, shown here with a 63” mowing deck, can readily maintain areas in the 100 to 200 acre range, as opposed to the ½ acre typical retail mowers. First and Second Generation Renubots have been developed and initial systems are in customer testing. Several generation 2 units have been sold to a large power company. Generation 3 units are in production and shipping to customers. The current customer base consists of large electric utility companies and utility-scale solar asset owners.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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

Research funding history

10 SBIR/STTR records share this UEI (2021–2025). Reported award amounts total $6,168,633. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense

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.