SBIR/STTR Research Award

Networked Robotic Bridging System

Award identifier 829bb3d27114fb79134ada151dd72e1ad376ec79fa6aa16c1be29a52ba691ebdAwarding agency Department of Defense · Army

Award amount

$249,983

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
INTELLISENSE SYSTEMS INC
Proposal award date
2025-08-28
Contract end date
2026-03-02
UEI
C4Y5CNN55L37
Solicitation number
25.4
Topic code
A254-012

Research abstract

To address the Army’s need for the development of an autonomous drone swarm capability for watercraft to support the fielding of floating bridges in riverine environments, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Networked Robotic Bridging (NRB) system. NRB is based on the integration of Intellisense’s free-space optical communication (FSOC) technology, robust and mature sensors for situational awareness, and a custom software package implementing mesh network datalinks, automatic swarm control, and path planning. Specifically, the implementation of FSOC enables NRB to provide a robust and resilient mesh network connecting swarm nodes, even in environments where radio-frequency communications are denied. This network will allow all bays separated by distances of up to 1 km to be linked while moving. The integration of sensors to support situational awareness both above and below the waterline ensures that man-made or natural obstacles are detected, and safe paths are navigated even in turbulent rivers or waters heavily occluded by salt or dirt particles. The NRB software supports real-time swarm geometry tracking, calculation of the motion path for each unmanned robotic rafting bay, and autonomous guiding of the swarm nodes. This enables control of multiple dispersed floating bays in a near vicinity to each other while also allowing each one to operate independently and be combined into a single larger rafting platform. As a result, the NRB system will be an enabling technology that supports unpredictable nonlinear river crossings while minimizing the logistics footprint. In Phase I, Intellisense will develop the NRB system architecture, identify the communication mechanism and spatial awareness and guidance sensors, and develop control software and algorithms that allow the individual floating drones to interact. This work will be encapsulated in a feasibility study report that shows how the bays will leverage NRB to autonomously form a bridge. The study will also include documentation for integration into other Department of Defense (DoD) systems and Intellisense’s plans to test and validate NRB when installed on a surrogate platform. In Phase II, Intellisense plans to fully develop the architecture, methodology, and code required to implement the NRB system; the system will operate securely (including robust cybersecurity) and in GPS-denied environments. Based on the architecture, Intellisense will develop a full-scale prototype (using modeling and simulation products to support the hardware selection), validate the prototype with breadboard testing, identify a DoD-compliant controller for the bays when not fully autonomous, and create a developmental test plan. The Phase II will culminate in outfitting surrogates with the NRB prototype and testing in relevant conditions. The prototype, including hardware, software, and test reports, will be delivered at the end of Phase II.

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

337 SBIR/STTR records share this UEI (2014–2026). Reported award amounts total $162,560,474. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Homeland Security, Department of Energy, Department of Commerce, Department of Agriculture

Agency intelligence

Department of Defense

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