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ARMY APPLICATIONS LABORATORY BROAD AGENCY ANNOUNCEMENT FOR DISRUPTIVE TECHNOLOGIES

Solicitation ID: W911NF-24-S-0008

Agency: Army Futures Command/AAL

Type: Solicitation
Deadline: 2029-04-04T17:00:00 ET
Eligibility: DOE Site Office Approval Required
Funding: N/A
Doc Type: BAA
Clearance: No
Program Manager: aal-baa@army.mil
Last Updated: 2026-10-21 16:04
Analyzed File: AAL_BAA_W911NF_24_S_0008_AMENDED.pdf

Eligibility Reasoning

Pursuant to the policy of FAR 35.017 and supplements, selected Federally Funded Research and Development Centers (FFRDC) may propose under this BAA as allowed by their sponsoring agency and in accordance with their sponsoring agency policy.

Note: This is an AI-generated summary...

Summary

The U.S. Army Applications Laboratory (AAL) has issued a five-year Broad Agency Announcement (BAA), W911NF-24-S-0008, to solicit proposals for basic and applied research on disruptive technologies supporting Army modernization priorities. The BAA, valid from April 5, 2024, to April 4, 2029, aims to discover, accelerate, and translate innovations from industry, academia, and civilian ecosystems to provide the Army with a significant capability overmatch, with a focus on dual-use solutions applicable to commercial markets. Key technology areas of interest include autonomous platforms, AI/ML, data visualization, assured PNT, power and energy, sensing, communications, computation (including edge), space systems, IoT, quantum technologies, signature reduction, soldier protection, human performance, contested logistics, and kinetic payloads. The application process is staged, starting with a mandatory whitepaper submission through the AAL website. Based on a favorable review and funding availability, applicants may be invited to submit a full proposal. The government anticipates awarding a variety of instruments, including procurement contracts, grants, cooperative agreements, and Other Transactions (OTs) for research or prototypes.

Overall Technical Areas

Autonomous Platforms and RoboticsArtificial Intelligence and Machine LearningData Visualization and Synthetic EnvironmentsAssured Position, Navigation, and Timing (PNT)Power Generation and ManagementAdvanced Sensing and DetectionSecure Communications and NetworkingHigh Performance and Edge ComputingSpace Systems and PayloadsInternet of Things (IoT) ManagementQuantum Information ScienceSignature Reduction TechnologiesSoldier and Platform ProtectionHuman Performance AugmentationKinetic Payload Delivery Systems

Probable LBNL Areas

BSACSAETAPSA

Focus Areas

Example Priorities:
  • Autonomous platforms – The Army is particularly interested in research in autonomous ground and air vehicles, which must operate in open, urban and cluttered environments. Robotics and autonomous systems regardless of their missions require similar concepts and technologies including: a. Ability to move in very cluttered, irregular, urban and underground terrains b. Ability to move effectively in contested environments and survive attacks c. Technologies to enable low electronic and physical profiles d. Techniques to allow operators to be trained quickly even for complex tasks e. Architectures to enable reprogrammable platforms under dynamic conditions f. Sensors to detect obscured targets and to characterize terrain obstacles g. Autonomous ground and air structures, propulsion, and mobility components h. Technologies to significantly reduce logistical burdens
  • Artificial Intelligence and Machine Learning (AI/ML) - The Army is interested in AI/ML research in areas which can reduce the cognitive burden on humans and improve overall performance through human-machine teaming. AI/ML research is needed in areas such as: a. Autonomous, intelligent maneuver and behaviors of autonomous ground and air vehicles - object recognition, threat warning, etc. b. Ability to analyze large, diverse data sets to predict enemy intent and behaviors c. Technologies to ensure robust, resilient and intelligent networking, cyber, electronic warfare and analysis of adversary signals d. Data analysis capabilities to engage with and exploit classified and unclassified sources in order to produce enhanced intelligence products e. Techniques to fuse data from disparate sources to improve a particular mission
  • Data visualization and synthetic environments – The Army is interested in research involving concepts that enable improved situational awareness and the visualization and navigation of large data sets and to enhance operational activities and training and readiness. Research is needed in the visualization of data in following areas: a. Sensor data b. Large data sets c. Complex multi-source mode data sets d. Novel visualization and synthetic environment approaches to enable improved training e. Synthetic environments and networked instrumentation approaches for virtual-live validation of concepts and prototypes
  • Assured Position, Navigation, and Timing (PNT) – The Army is interested in research involving novel new PNT technologies which could be key enablers for many capabilities including autonomous vehicles, communications, and land navigation. Solutions that enable robust PNT for vehicles, Soldiers, munitions might include research in the following areas: a. PNT technologies which operate reliably in GPS-degraded or denied areas which cannot be exploited by adversaries b. Enhancements to commercial technologies to enable them to meet Army needs c. Robust security techniques for PNT at all levels d. PNT-enabled guidance and control e. Algorithms and techniques to fuse data from multiple PNT sources to provide robust capabilities
  • Power generation and management technologies – The Army frequently must operate where power infrastructure is not available, on small vehicles or for individual Soldiers. Solutions that enable reliable power for vehicles, Soldiers, and munitions might include research on: a. Power management algorithms to optimize generation and usage b. Advanced low-power electronic technologies to reduce power demand c. Compact power sources for small UAVs, robots, smart munitions d. Power transmission and power storage technology
  • Sensing – The Army is interested in developing a detailed understanding of the environment and activities in the areas where it operates. Research is needed in the areas of sensors and associated processing in order to: a. Detect people, equipment, weapons, and any other object or action of interest b. Detect all targets even when obscured c. Detect based upon, physical, behavioral, cyber or other signatures
  • Communications & networks – It is critical the Army maintain secure, reliable communications for Soldiers, vehicles and at fixed locations even in austere environments. Research is needed in the areas related to following: a. Concepts and methodologies to enable robust, secure networks b. Protocols c. Network interoperability including multi-national partners d. High efficiency components
  • Computation – The Army has a growing need for high performance computational capabilities to exploit large data sets and to compute complex AI/ML algorithms for many applications. Research is needed to improve computational capabilities in the following areas: a. Throughput b. Power efficiency c. Edge computing
  • Space – Like many commercial interests, the Army is interested in exploiting space assets to solve a range of problems. Research is needed to improve space-based capabilities in the following areas: a. Concepts enabling persistent, high-resolution sensing of ground-based features, environments, and targets b. Concepts enabling low-cost access to space
  • Internet of Things (IoT) – The Army needs to better integrate a wide range of capabilities and equipment and capitalize on commercial developments in the industrial and human IOT. The Army’s interested is driven in part by the fact that the amount of usable communication bandwidth on the battlefield will be dynamic, and as such automated reallocation of communication resources and information sharing strategies are more challenging than commercial ones. Research is needed to improve Army IOT in the following areas: a. New concepts, quantitative models and technical approaches enabling automated management of IoT b. New machine learning techniques that accelerate decision making to address the scale/volume of IoT information and advance the science c. New approaches, low-complexity algorithms, and methods to enable secure, resilient, and to automatically managed IOT networks in highly complex, mixed cooperative/adversarial, information-centric environment d. Novel IoT approaches to enable improved training and system evaluation
  • Quantum Technologies – The Army seeks to better employ quantum sciences in a number of areas to improve the performance and security of its future systems. Research is needed in the following areas: a. Quantum computing to solve highly complex problems in real time b. Quantum sensing to achieve highly sensitive characterization of activities and environments and enable highly accurate navigation c. Quantum communications, and networking to enable highly secure and efficient information flow
  • Signature reduction – The Army needs to protect its Soldiers by making them harder to detect and locate. Research is needed to manage and reduce Army capability signatures in the following areas: a. Technologies, methodologies and concepts to reduce the external signatures of Soldiers and of all Army platforms and equipment b. Capabilities to reduce RF, optical, thermal, acoustic, magnetic and any other signatures
  • Protection – The Army faces a number of current and future threats which it must address to protect it Soldiers. Research is needed to enhance Army capabilities for survival in the following areas: a. Sensors to detect chemical, biological, radiological, nuclear, and explosive threats b. Lightweight, easy to manufacture armor c. Cyber protection technologies, methodologies, and concepts to protect Army systems including Soldiers, platforms, networks, and munitions d. Human performance optimization to endure harsh and extenuating conditions e. Soldier protection technologies including but not limited to counter Unmanned Aerial System (c-UAS), counter missile, counter overhead surveillance. f. Rapid emplacement of counter mobility obstacles. g. Early warning systems.
  • Human Performance – The Soldier is the foundation of all Army capabilities. Technologies that reduce Soldiers’ mental or physical burden and allow them to react faster than their adversaries are needed in the following areas: a. Human-machine interaction to ensure autonomous platforms are efficiently managed and exploited b. Measuring effectiveness of and enhancing training tools and techniques c. Methodologies and approaches for effective augmentation of Soldiers in areas of cognition, perception, and physical performance
  • Contested Logistics – The Army is interested in research in contested logistics technology that can maintain operational superiority over adversaries through an environment in which logistics operations, facilities, and activities are disrupted or non-existent. Research is needed in areas such as: a. Leveraging data analytics for predictive logistics capabilities. b. Use of autonomous technology to extend operational reach, prolong endurance and ensure freedom of action. c. Reducing the Army’s logistics tail through innovative processes or software tools. d. Novel alternative fuel or energy sources that reduce logistical burden. e. Novel manufacturing techniques that support point of need manufacturing in austere conditions.
  • Kinetic Payload – Kinetic payload technologies should provide scalable effects to disrupt, decoy, and/or deliver lethal effects against threats. Kinetic Payload research is needed in areas such as: a. Augmentation of commercial off-the-shelf aerial systems to deliver kinetic payloads. b. Use of additive manufacturing to develop kinetic payloads and/or delivery systems utilizing novel manufacturing techniques. c. Interchangeable delivery system that could attach multiple types of kinetic payloads no matter size or weight. d. Novel and/or alternative munition systems and associated support equipment designed to autonomously or semi-autonomously deliver effects.
Specific Technical Skills:
Autonomous platforms – The Army is particularly interested in research in autonomous ground and air vehicles, which must operate in open, urban and cluttered environments. Robotics and autonomous systems regardless of their missions require similar concepts and technologies including: a. Ability to move in very cluttered, irregular, urban and underground terrains b. Ability to move effectively in contested environments and survive attacks c. Technologies to enable low electronic and physical profiles d. Techniques to allow operators to be trained quickly even for complex tasks e. Architectures to enable reprogrammable platforms under dynamic conditions f. Sensors to detect obscured targets and to characterize terrain obstacles g. Autonomous ground and air structures, propulsion, and mobility components h. Technologies to significantly reduce logistical burdensArtificial Intelligence and Machine Learning (AI/ML) - The Army is interested in AI/ML research in areas which can reduce the cognitive burden on humans and improve overall performance through human-machine teaming. AI/ML research is needed in areas such as: a. Autonomous, intelligent maneuver and behaviors of autonomous ground and air vehicles - object recognition, threat warning, etc. b. Ability to analyze large, diverse data sets to predict enemy intent and behaviors c. Technologies to ensure robust, resilient and intelligent networking, cyber, electronic warfare and analysis of adversary signals d. Data analysis capabilities to engage with and exploit classified and unclassified sources in order to produce enhanced intelligence products e. Techniques to fuse data from disparate sources to improve a particular missionData visualization and synthetic environments – The Army is interested in research involving concepts that enable improved situational awareness and the visualization and navigation of large data sets and to enhance operational activities and training and readiness. Research is needed in the visualization of data in following areas: a. Sensor data b. Large data sets c. Complex multi-source mode data sets d. Novel visualization and synthetic environment approaches to enable improved training e. Synthetic environments and networked instrumentation approaches for virtual-live validation of concepts and prototypesAssured Position, Navigation, and Timing (PNT) – The Army is interested in research involving novel new PNT technologies which could be key enablers for many capabilities including autonomous vehicles, communications, and land navigation. Solutions that enable robust PNT for vehicles, Soldiers, munitions might include research in the following areas: a. PNT technologies which operate reliably in GPS-degraded or denied areas which cannot be exploited by adversaries b. Enhancements to commercial technologies to enable them to meet Army needs c. Robust security techniques for PNT at all levels d. PNT-enabled guidance and control e. Algorithms and techniques to fuse data from multiple PNT sources to provide robust capabilitiesPower generation and management technologies – The Army frequently must operate where power infrastructure is not available, on small vehicles or for individual Soldiers. Solutions that enable reliable power for vehicles, Soldiers, and munitions might include research on: a. Power management algorithms to optimize generation and usage b. Advanced low-power electronic technologies to reduce power demand c. Compact power sources for small UAVs, robots, smart munitions d. Power transmission and power storage technologySensing – The Army is interested in developing a detailed understanding of the environment and activities in the areas where it operates. Research is needed in the areas of sensors and associated processing in order to: a. Detect people, equipment, weapons, and any other object or action of interest b. Detect all targets even when obscured c. Detect based upon, physical, behavioral, cyber or other signaturesCommunications & networks – It is critical the Army maintain secure, reliable communications for Soldiers, vehicles and at fixed locations even in austere environments. Research is needed in the areas related to following: a. Concepts and methodologies to enable robust, secure networks b. Protocols c. Network interoperability including multi-national partners d. High efficiency componentsComputation – The Army has a growing need for high performance computational capabilities to exploit large data sets and to compute complex AI/ML algorithms for many applications. Research is needed to improve computational capabilities in the following areas: a. Throughput b. Power efficiency c. Edge computingSpace – Like many commercial interests, the Army is interested in exploiting space assets to solve a range of problems. Research is needed to improve space-based capabilities in the following areas: a. Concepts enabling persistent, high-resolution sensing of ground-based features, environments, and targets b. Concepts enabling low-cost access to spaceInternet of Things (IoT) – The Army needs to better integrate a wide range of capabilities and equipment and capitalize on commercial developments in the industrial and human IOT. The Army’s interested is driven in part by the fact that the amount of usable communication bandwidth on the battlefield will be dynamic, and as such automated reallocation of communication resources and information sharing strategies are more challenging than commercial ones. Research is needed to improve Army IOT in the following areas: a. New concepts, quantitative models and technical approaches enabling automated management of IoT b. New machine learning techniques that accelerate decision making to address the scale/volume of IoT information and advance the science c. New approaches, low-complexity algorithms, and methods to enable secure, resilient, and to automatically managed IOT networks in highly complex, mixed cooperative/adversarial, information-centric environment d. Novel IoT approaches to enable improved training and system evaluationQuantum Technologies – The Army seeks to better employ quantum sciences in a number of areas to improve the performance and security of its future systems. Research is needed in the following areas: a. Quantum computing to solve highly complex problems in real time b. Quantum sensing to achieve highly sensitive characterization of activities and environments and enable highly accurate navigation c. Quantum communications, and networking to enable highly secure and efficient information flowSignature reduction – The Army needs to protect its Soldiers by making them harder to detect and locate. Research is needed to manage and reduce Army capability signatures in the following areas: a. Technologies, methodologies and concepts to reduce the external signatures of Soldiers and of all Army platforms and equipment b. Capabilities to reduce RF, optical, thermal, acoustic, magnetic and any other signaturesProtection – The Army faces a number of current and future threats which it must address to protect it Soldiers. Research is needed to enhance Army capabilities for survival in the following areas: a. Sensors to detect chemical, biological, radiological, nuclear, and explosive threats b. Lightweight, easy to manufacture armor c. Cyber protection technologies, methodologies, and concepts to protect Army systems including Soldiers, platforms, networks, and munitions d. Human performance optimization to endure harsh and extenuating conditions e. Soldier protection technologies including but not limited to counter Unmanned Aerial System (c-UAS), counter missile, counter overhead surveillance. f. Rapid emplacement of counter mobility obstacles. g. Early warning systems.Human Performance – The Soldier is the foundation of all Army capabilities. Technologies that reduce Soldiers’ mental or physical burden and allow them to react faster than their adversaries are needed in the following areas: a. Human-machine interaction to ensure autonomous platforms are efficiently managed and exploited b. Measuring effectiveness of and enhancing training tools and techniques c. Methodologies and approaches for effective augmentation of Soldiers in areas of cognition, perception, and physical performanceContested Logistics – The Army is interested in research in contested logistics technology that can maintain operational superiority over adversaries through an environment in which logistics operations, facilities, and activities are disrupted or non-existent. Research is needed in areas such as: a. Leveraging data analytics for predictive logistics capabilities. b. Use of autonomous technology to extend operational reach, prolong endurance and ensure freedom of action. c. Reducing the Army’s logistics tail through innovative processes or software tools. d. Novel alternative fuel or energy sources that reduce logistical burden. e. Novel manufacturing techniques that support point of need manufacturing in austere conditions.Kinetic Payload – Kinetic payload technologies should provide scalable effects to disrupt, decoy, and/or deliver lethal effects against threats. Kinetic Payload research is needed in areas such as: a. Augmentation of commercial off-the-shelf aerial systems to deliver kinetic payloads. b. Use of additive manufacturing to develop kinetic payloads and/or delivery systems utilizing novel manufacturing techniques. c. Interchangeable delivery system that could attach multiple types of kinetic payloads no matter size or weight. d. Novel and/or alternative munition systems and associated support equipment designed to autonomously or semi-autonomously deliver effects.
Potential PIs for this Area:
NameScoreOrganization
Ezra Kissel0.74CSA | ESNET | Tech Adv and Engagement · Quantum Technologies – The Army seeks to better employ quantum sciences in a number of areas to improve the performance and security of its future systems. Research is needed in the following areas: a. Quantum computing to solve highly complex problems in real time b. Quantum sensing to achieve highly sensitive characterization of activities and environments and enable highly accurate navigation c. Quantum communications, and networking to enable highly secure and efficient information flow
Bruce Mah0.74CSA | ESNET | Tech Adv and Engagement · Communications & networks – It is critical the Army maintain secure, reliable communications for Soldiers, vehicles and at fixed locations even in austere environments. Research is needed in the areas related to following: a. Concepts and methodologies to enable robust, secure networks b. Protocols c. Network interoperability including multi-national partners d. High efficiency components
Victor Negut0.74PSA | NSD | ANP · Sensing – The Army is interested in developing a detailed understanding of the environment and activities in the areas where it operates. Research is needed in the areas of sensors and associated processing in order to: a. Detect people, equipment, weapons, and any other object or action of interest b. Detect all targets even when obscured c. Detect based upon, physical, behavioral, cyber or other signatures
Nirmalendu Patra0.72CSA | AMCR | Computer Science · Computation – The Army has a growing need for high performance computational capabilities to exploit large data sets and to compute complex AI/ML algorithms for many applications. Research is needed to improve computational capabilities in the following areas: a. Throughput b. Power efficiency c. Edge computing
Thomas Hendrickson0.72ETA | Energy Analysis | Systems & Energy Tech Analysis · Contested Logistics – The Army is interested in research in contested logistics technology that can maintain operational superiority over adversaries through an environment in which logistics operations, facilities, and activities are disrupted or non-existent. Research is needed in areas such as: a. Leveraging data analytics for predictive logistics capabilities. b. Use of autonomous technology to extend operational reach, prolong endurance and ensure freedom of action. c. Reducing the Army’s logistics tail through innovative processes or software tools. d. Novel alternative fuel or energy sources that reduce logistical burden. e. Novel manufacturing techniques that support point of need manufacturing in austere conditions.
Anna Giannakou0.72CSA | SciData | Data Science Applications · Artificial Intelligence and Machine Learning (AI/ML) - The Army is interested in AI/ML research in areas which can reduce the cognitive burden on humans and improve overall performance through human-machine teaming. AI/ML research is needed in areas such as: a. Autonomous, intelligent maneuver and behaviors of autonomous ground and air vehicles - object recognition, threat warning, etc. b. Ability to analyze large, diverse data sets to predict enemy intent and behaviors c. Technologies to ensure robust, resilient and intelligent networking, cyber, electronic warfare and analysis of adversary signals d. Data analysis capabilities to engage with and exploit classified and unclassified sources in order to produce enhanced intelligence products e. Techniques to fuse data from disparate sources to improve a particular mission
Scott Moura0.72ETA | Energy Technologies and Systems | Energy Storage & Dist Dpt · Power generation and management technologies – The Army frequently must operate where power infrastructure is not available, on small vehicles or for individual Soldiers. Solutions that enable reliable power for vehicles, Soldiers, and munitions might include research on: a. Power management algorithms to optimize generation and usage b. Advanced low-power electronic technologies to reduce power demand c. Compact power sources for small UAVs, robots, smart munitions d. Power transmission and power storage technology
Alexandre Bayen0.72ETA | Energy Analysis | Systems & Energy Tech Analysis · Assured Position, Navigation, and Timing (PNT) – The Army is interested in research involving novel new PNT technologies which could be key enablers for many capabilities including autonomous vehicles, communications, and land navigation. Solutions that enable robust PNT for vehicles, Soldiers, munitions might include research in the following areas: a. PNT technologies which operate reliably in GPS-degraded or denied areas which cannot be exploited by adversaries b. Enhancements to commercial technologies to enable them to meet Army needs c. Robust security techniques for PNT at all levels d. PNT-enabled guidance and control e. Algorithms and techniques to fuse data from multiple PNT sources to provide robust capabilities
Claire Tomlin0.72BSA | Biological Systems & Engineering | Department of BioEngineering and BioMedical Sciences · Autonomous platforms – The Army is particularly interested in research in autonomous ground and air vehicles, which must operate in open, urban and cluttered environments. Robotics and autonomous systems regardless of their missions require similar concepts and technologies including: a. Ability to move in very cluttered, irregular, urban and underground terrains b. Ability to move effectively in contested environments and survive attacks c. Technologies to enable low electronic and physical profiles d. Techniques to allow operators to be trained quickly even for complex tasks e. Architectures to enable reprogrammable platforms under dynamic conditions f. Sensors to detect obscured targets and to characterize terrain obstacles g. Autonomous ground and air structures, propulsion, and mobility components h. Technologies to significantly reduce logistical burdens
Houjun Tang0.70CSA | SciData | Data Science Applications · Data visualization and synthetic environments – The Army is interested in research involving concepts that enable improved situational awareness and the visualization and navigation of large data sets and to enhance operational activities and training and readiness. Research is needed in the visualization of data in following areas: a. Sensor data b. Large data sets c. Complex multi-source mode data sets d. Novel visualization and synthetic environment approaches to enable improved training e. Synthetic environments and networked instrumentation approaches for virtual-live validation of concepts and prototypes

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

NameScoreOrganization
Venkatesh Akella0.76CSA | SciData | Data Science Applications · High Performance and Edge Computing
Hartmut Haeffner0.75CSA | AMCR | Computer Science · Quantum Information Science
Victor Negut0.75PSA | NSD | ANP · Advanced Sensing and Detection
Scott Moura0.74ETA | Energy Technologies and Systems | Energy Storage & Dist Dpt · Power Generation and Management
Mark Bandstra0.74PSA | NSD | ANP · Signature Reduction Technologies
Anna Giannakou0.73CSA | SciData | Data Science Applications · Artificial Intelligence and Machine Learning
Bruce Nordman0.73ETA | Building & Industrial Energy Systems | Bldg Technologies Dept · Internet of Things (IoT) Management
Houjun Tang0.73CSA | SciData | Data Science Applications · Data Visualization and Synthetic Environments
Adam Slagell0.72CSA | ESNET | Security · Secure Communications and Networking
Xianglei Mao0.72ETA | Energy Technologies and Systems | Energy Storage & Dist Dpt · Kinetic Payload Delivery Systems

Fundamental Research Exemption (FRE)

Applicants should be aware of current export control laws and are responsible for ensuring compliance with all export control laws, including International Traffic in Arms Regulation (ITAR) (22 CFR 120 et. Seq.) and the Export Administration Regulations (15 CFR 730) requirements, as applicable. In some cases, developmental items funded by the Department of Defense are now included on the United States Munition List (USML) and are therefore subject to ITAR jurisdiction.