The Department of Defense, specifically the United States Air Force, is seeking innovative solutions through the Small Business Innovation Research (SBIR) program for the development of autonomous robotic systems capable of inspecting confined spaces, such as fuel tanks. The primary objective is to research and develop sensing technologies and software controls that enable robots to autonomously navigate and perform inspections in hazardous environments characterized by low oxygen levels and toxic gases. This technology is crucial for enhancing operational efficiency and safety in military and industrial settings, where traditional inspection methods pose significant risks to human inspectors. Interested parties should note that the solicitation is open until June 25, 2025, with further details available at the provided source link: https://www.sbir.gov/topics/12054.

OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Sustainment & Logistics; Advanced Infrastructure & Advanced Manufacturing The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. OBJECTIVE: Research, evaluate, and select the proper sensing required and to develop software controls needed to enable robots to autonomously navigate within and with the required dexterously to inspect closed or confined spaces that are susceptible to unhealthy or low levels of oxygen, and/or may contain materials or noxious gasses that are hazardous to humans. The system will be prototyped with an existing robotic system at an air logistics complex. DESCRIPTION: Confined or enclosed spaces such as fuel tanks are common across several military and industrial settings. They require regular exploration, internal inspections, and surveillance to the extent that they are hazardous to humans due to their low or unhealthy levels of oxygen, presence of toxic gases, and threat of flooding. Recent advances in robotics and sensors have eased external structural inspections. However, enclosed and confined spaces require robust map generation and localization. These robots must perform dexterous inspections (macro and micro) in low or zero light, adapt in real time to different shapes and geometries during inspections, and detect any critical or structural defects—all without relying on a working network connection or infrastructure. As an example, current fuel tank inspections either require humans to crawl within a tight fuel tank or tele-operate a robot to take pictures of various clips, rivets, stringers and other components and to inspect tanks for cracks or signs of structural damage. Depending on what needs to be inspected and repaired, these inspections can range from a single shift to a few days to complete. This severely limits the number of fuel tanks that can be inspected in a reasonable amount of time and to meet the stringent requirements that the Air Force maintains in order to keep the fleet operational. With the proper sensing and robotic controls in place, inspection robots can function efficiently and autonomously in closed spaces. Existing robotic systems require tele-operations and risk collision during retrieval or retraction. The development of this technology will allow robots to safely and autonomously inspect closed areas, such as fuel tanks, characterized by different geometries and dimensions, making these inspection systems more agile and impactful. PHASE I: For this Direct-to-Phase II topic, evaluators are expecting that the submittal firm demonstrate the ability to autonomously inspect materials or objects safely in real-world environments with varying dynamic factors such as humans, birds, weather etc. through the use of Commercial Off The Shelf sensors. Demonstrate the accuracy and integration of these sensors into robotic systems and accurate performance of the robotic control system for inspections. PHASE II: Develop a working prototype to autonomously navigate within and inspect closed spaces (such as fuel tanks) while accounting for unseen situations and scenarios using an existing air logistics complex robotic system. Maximizing the efficiency of the robotic system by allowing the robot(s) to operate autonomously and inspect fuel tanks of varying aircraft in a real-world environment with minimal external safety systems and no manual programming in this is critical. PHASE III DUAL USE APPLICATIONS: If the Phase II is successful in developing the technology, the government would like to pursue a phase III to refine hardware and software in order to increase accuracy and reliability of developed system. This will create a production-ready state for marketing to the Air Force, other related federal agencies, and private industry. REFERENCES: 1. Azpurua, et. al., “A Survey on the autonomous exploration of confined subterranean spaces: Perspectives from real-word and industrial robotic deployments.” February, 2023, A Survey on the autonomous exploration of confined subterranean spaces: Perspectives from real-word and industrial robotic deployments 2. Mayhugh, 86 MXS crawls into C-130 fuel tank inspection, August 2017 https://www.dla.mil/About-DLA/News/News-Article-View/Article/1275677/86-mxs-crawls-into-c-130-fuel-tank-inspection/ 3. Brogaard, R., Boukas, E., “Autonomous GPU-based UAS for inspection of confined spaces: Application to marine vessel classification.” February, 2024, Autonomous GPU-based UAS for inspection of confined spaces: Application to marine vessel classification KEYWORDS: Confined Space Navigation; Path Planning

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