SBIR/STTR Research Award

Robotic Arm Launch and Recovery (RALAR) System for Ground-Based UAV Operations in Dynamic Environments: On-the-Move

Award identifier a218410a9035b8349ad5fb0279b41b187f150aff9227470d276de93c617b9878Awarding agency Department of Defense · Air Force

Award amount

$74,927

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
TARGET ARM INC
Proposal award date
2025-01-20
Contract end date
2025-04-17
UEI
CZ1RHE38WBE3
Solicitation number
X24.7
Topic code
AFX247-PCSO1

Research abstract

Target Arm aims to develop an advanced, autonomous UAV launch and recovery system specifically designed for rugged, ground-based operations. Leveraging a robotic arm mechanism, Ralar is engineered to provide precise UAV deployment and recovery capabilities from moving platforms, addressing critical limitations in current systems that require stationary setups and manual handling. This innovative approach significantly enhances operational efficiency by enabling on-the-move UAV operations, essential for missions in dynamic and unpredictable environments such as convoy protection, airbase defense, and ISR missions.Ralarĺs technical foundation is built upon the principles of rapid response and adaptability. The systemĺs core innovation lies in its ability to autonomously launch and recover UAVs while in motion, using a sensor-driven robotic arm that adjusts in real-time to terrain changes and vehicle dynamics. Unlike traditional systems that rely on fixed-position platforms, Ralarĺs adaptive technology offers sub-millimeter precision for UAV capture, even in rough terrain where potholes and obstacles could impede other systems. This capability is crucial for maintaining continuous situational awareness and tactical readiness in ground-based operations, where quick decision-making and agility are required.Ralar integrates with existing platforms like MRZRs, Humvees, and other ground vehicles, providing a scalable solution that enhances both military and commercial UAV missions. The systemĺs modular design allows for seamless integration with various UAV types, making it compatible with a wide range of operational scenarios from surveillance to counter-UAS missions. By utilizing Target Armĺs Sensor Fusion Engine (SFE) for real-time data processing and precise localization, Ralar ensures high-accuracy control of UAV deployment, supporting the Department of Defense's (DoD) shift towards autonomous and unmanned systems.The primary objective of the Ralar project is to achieve a Technology Readiness Level (TRL) of 7, transitioning from the current TRL 6 through rigorous field testing and validation. The focus is on enhancing the systemĺs ability to autonomously operate in austere environments, specifically targeting ground-based UAV missions that involve nuclear convoy protection, Agile Combat Employment (ACE) concepts, and counter-UAS operations. This development phase aims to refine the robotic arm mechanism, improve terrain adaptability, and expand UAV interoperability for multi-domain operations.Phase I involves obtaining a signed Customer Memorandum, design optimization and laboratory testing to refine the robotic arm's precision and adaptability under controlled conditions. Phase II will shift to field trials with key Air Force stakeholders such as the 90th Missile Security Operations Squadron and Phoenix Spark, incorporating their feedback to tailor Ralarĺs capabilities to specific operational needs.á

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 (2019–2025). Reported award amounts total $5,353,465. 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

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