SCIENTIFIC SYSTEMS CO INC

REACT-AAM seeks to improve standard collision avoidance approaches to accommodate the higher density utilization of mixed-use airspace envisioned in the Advanced Air Mobility concept. nbsp;To accompli ...

Scientific Systems Company, Inc. (SSCI) proposes a low-cost sensing device requiring no a-priori information for the perception of uncooperative and unknown on-orbit spacecraft pose and structural cha ...

Imaging systems comprised of electro-optic (EO) and multiple infrared bands are being deployed due to their ability to provide passive situational awareness that is robust to environmental conditions. ...

SSCI proposes to leverage our extensive prior work to integrate and test Robust Encounter Avoidance and Conflict Resolution for Long Endurance Platforms (REACT-LE). The proposed system will provide a ...

Neuroevolutionary Optimization of Aggregation-GNNs for Scalable Swarm Tactics (NO-AnGSST) enables the learning of rich sets of complex behaviors over large heterogeneous swarms of low-SWaP hardware by ...

MALLETS will provide a robust machine learning approach to complex, multi-vehicle EW engagements with an intelligent adversary. Through both offline and online learning, MALLETS will develop a model o ...

SSCI is developing an optical-based collision threat detection system (OASES SAFESEE) for the unmanned MQ-8C. OASES SAFESEE is a solution using lightweight sensors and a processor, on aircraft not su ...

To engage a high value target in GPS/contested conditions over any significant distance, small Common Launch Tube (CLT) munitions must be able to navigate in the absence of GPS. This requires an alter ...

Reinforcement Learning for Intelligent Salvo Management (RLISM) is an automated Artificial Intelligence (AI)/Machine Learning (ML) driven battle management software decision aid for intercept planning ...

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