Award Data

Unmanned Aircraft Systems (UAS) and Urban / Advanced Air Mobility (UAM/AAM) are rapidly emergent dual-use technology areas that will revolutionize Department of Defense (DoD) and commercial applications in areas such as delivering goods and supplies, disaster recovery and relief efforts, search and rescue, base security, air taxi services, and operations from small or unimproved areas . To enable ...

The need to preserve mission objectives despite setbacks is paramount as space becomes more contested and more congested. Satellites must be resilient such that they can respond quickly to a changing environment and continue to provide services. A key requirement for this resilience is faster detection and recovery from faults, which in turn requires a change in how faults are monitored and correc ...

The Air Force, in its 2030 Science and Technology Strategy, emphasizes the need for “a collaborative and autonomous network of systems and effects”, and “distributed sensing across domains.” Distributed, collaborative systems require complex control algorithms. Introducing autonomy requires formal guarantees of system safety and correctness in order to deploy in an assured, trustworthy fas ...

Urban/Advanced Air Mobility (UAM/AAM) technology is advancing rapidly with over 300 designs underway.  Primary to the challenges of an electric Vertical Take Off and Landing (eVTOL) is what will happen if the vehicle suffers a failure in flight (especially in VTOL).  Establishment of a level of safety is paramount in the success or failure of the UAM market. Currently, there is not a practical r ...

Planck Aero and UC San Diego will collaborate to adapt and modify technology to address defense needs by providing an innovative, modular aerial navigation system that is capable of identifying and monitoring the accuracy, availability, and integrity of sensor sources, and ingesting all data into algorithms capable of providing a precision navigation solution for the duration of a mission withou ...

Jump Aero has partnered with Caltech’s Center for Autonomous Systems and Technologies (CAST) to move adaptive control and machine learning autonomy algorithms from the lab to the real world.  We will accomplish this transition through an incremental crawl-walk-run process where the first crawl step involves a combination of certifiable hardware and a software architecture that is based on Run T ...

This Proposal addresses the tracking and forecasting a cyberthreat’s future maneuvers in compromised network. Our approach is as follows: Movement in the Network observed by Intrusion Detection System (IDS) Sensor Data = Discrete States (e.g., IP or Port Addressed per IDMEF alert format) Forecast Threat Track Vector using Multiple Hypothesis Method (MHM) Use Probabilistic Relational Model (PRM) ...

Interest in abating noise pollution from future eVTOL vehicles utilized in urban environments is a major motivating factor for this proposed study.  Past strategies for predicting noise about aircraft and rotorcraft tended to be highly empirical leading to limited generalization and accuracy. On the other hand, modern acoustics methodologies can be employed as an effective and comprehensive means ...

This project aims to develop a technology for the preparation of scalable graphene batteries. The anodes are comprised of functionalized graphene sheets with basal plane nanoholes and assembled in a densely-packed covalently-linked framework. The anodes are prelithiated using a commercially scalable process, which enriches the electrodes with Li ions and forms a stable interface for increased cycl ...

All-electric flying vehicle with vertical takeoff and landing capability, carrying 1-2 passengers or 300lb cargo and flying for more than 25 miles on one charge.