Radaround: A Field-Expedient Direction Finder For Contested Iot Sensing & Em Situational Awareness,
2026
Embry-Riddle Aeronautical University
Radaround: A Field-Expedient Direction Finder For Contested Iot Sensing & Em Situational Awareness, Owen Maute, Blake Roberts
Discovery Day - Daytona Beach
This paper presents RadAround, a passive 2-D direction-finding system designed for adversarial IoT sensing in contested environments. Using mechanically steered narrowbeam antennas and field-deployable SCADA software, it generates high-resolution electromagnetic (EM) heatmaps using low-cost COTS or 3D-printed components. The microcontroller-deployable SCADA coordinates antenna positioning and SDR sampling in real time for resilient, on-site operation. Its modular design enables rapid adaptation for applications such as EMC testing in disaster-response deployments, battlefield spectrum monitoring, electronic intrusion detection, and tactical EM situational awareness (EMSA). Experiments show RadAround detecting computing machinery through walls, assessing utilization, and pinpointing EM interference (EMI) leakage sources from Faraday …
Improving Multi-Agent Swarm Collision Avoidance Using Reciprocal Velocity Obstacles,
2026
Embry-Riddle Aeronautical University
Improving Multi-Agent Swarm Collision Avoidance Using Reciprocal Velocity Obstacles, Nick Wilson
Discovery Day - Daytona Beach
As multi-agent systems grow increasingly complex, physical robotic swarms are essential to bridge the gap between limited software simulations and real-world application. The BID4R STARS swarm provides a physical platform for testing diverse algorithms, yet its success relies heavily on fundamental agent capabilities—most notably, obstacle avoidance. Preventing intra-swarm collisions is critical to avoid hardware damage and experimental disruption. To address this challenge, this project implements the Reciprocal Velocity Obstacles (RVO) algorithm onto the STARS swarm. While standard collision avoidance algorithms often overcorrect and induce oscillatory agent movement, RVO factors in the velocity and anticipated responses of all agents involved in …
Honeybee-Inspired Swarm Intelligence For Autonomous Adaptability Of Martian Infrastructure,
2026
Embry-Riddle Aeronautical University
Honeybee-Inspired Swarm Intelligence For Autonomous Adaptability Of Martian Infrastructure, Morgan Kendall
Discovery Day - Daytona Beach
Current research in autonomous space systems primarily relies on centralized control or swarm methods designed for fixed mission scenarios. These approaches lack the flexibility needed for long-duration Mars operations, where infrastructure must adapt to changing conditions, evolving mission goals, and limited human oversight. This creates a critical gap in developing autonomous systems capable of continuous self-organization. This gap is being addressed by developing a biologically inspired, adaptive Martian infrastructure using swarm intelligence. The scope includes key system domains such as power distribution, communication networks, and surface logistics. Agent-based modeling software will simulate infrastructure components as autonomous agents that evaluate local …
Nano Aircraft Using Underactuated Technology (Naut),
2026
Embry-Riddle Aeronautical University
Nano Aircraft Using Underactuated Technology (Naut), Giol Vinyals I Roca
Discovery Day - Daytona Beach
The Nano Aircraft using Underactuated Technology (NAUT) project presents a novel swashplateless rotor system that achieves cyclic pitch control using a single actuator, eliminating the need for conventional multi-servo swashplate assemblies. This approach is specifically tailored for nano unmanned aircraft systems (UAS) operating within Advanced Air Mobility (AAM) environments, where size, weight, and power constraints demand highly efficient and simplified control architectures. A functional prototype has been developed and experimentally validated, demonstrating measurable cyclic pitch variation and effective control authority. Multiple mechanism variants are currently being investigated to evaluate performance trade-offs in responsiveness, mechanical efficiency, and aerodynamic effectiveness. These configurations …
Intrinsic Memory In Digital Snns: Enhancing Performance On The Cart-Pole Task With Fractional-Order Dynamics,
2026
Portland State University
Intrinsic Memory In Digital Snns: Enhancing Performance On The Cart-Pole Task With Fractional-Order Dynamics, Niklas Karl Anderson
Dissertations and Theses
Researchers working with Spiking Neural Networks (SNNs) are faced with the challenge of identifying useful biologically plausible features for inclusion in neuron models. Prior research indicates that dynamics of fractional-order calculus, which impart a form of intrinsic memory, are a key feature of biological neurons. In this work, we present the development and usage of neural networks with intrinsic memory in application to the cart-pole task, a common benchmark for neural network performance. We found that usage of fractional-order neurons may allow for up to a 37.5% reduction in neural network size as compared to networks using a standard Leaky …
Ai Cyber First Responders: Bottleneck Analysis Of Heterogeneous Cpu–Gpu Pipelines For Security Operations Center Triage,
2026
Harrisburg University of Science and Technology
Ai Cyber First Responders: Bottleneck Analysis Of Heterogeneous Cpu–Gpu Pipelines For Security Operations Center Triage, Christine Pierce
Harrisburg University Other Works
Abstract — Modern Security Operations Centers (SOCs) must continuously process massive volumes of heterogeneous security telemetry while meeting stringent throughput, latency, and operational continuity requirements. Although transformer-based artificial intelligence has significantly improved threat detection and alert prioritization, most cybersecurity research evaluates model accuracy rather than the end-to-end behavior of AI-enabled operational pipelines. Consequently, relatively little is known about how heterogeneous CPU–GPU coordination, scheduling overhead, memory movement, and synchronization collectively influence operational SOC performance. This paper presents the AI Cyber First Responder, a heterogeneous SOC triage architecture that integrates GPU-accelerated transformer inference with CPU-based doctrine-driven reasoning to investigate end-to-end pipeline behavior …
Remora Ads-B In Receiver,
2026
Embry-Riddle Aeronautical University
Remora Ads-B In Receiver, Noah Evans, Sara Patel, Nicholas Gatto, Daniel Ingleton
Discovery Day - Daytona Beach
The Remora is a compact Automatic Dependent Surveillance Broadcast (ADS-B) receiver, designed to enhance situational awareness for pilots operating experimental and homebuilt aircraft. Unlike conventional panel or windscreen-mounted systems, the Remora is installed externally, making it a low-profile solution to the ADS-B In challenge. The device integrates easily with the aircraft’s existing power supply. It transmits data wirelessly to electronic flight bags (EFBs) within the cockpit, using existing iOS and Android software for display and user interaction. The primary function of the Remora is to provide public-access, real-time traffic awareness and weather forecasting, enabling pilots to make informed mission decisions. …
Orbital Servicing Calibration And Repair (O.S.C.A.R.),
2026
Embry-Riddle Aeronautical University
Orbital Servicing Calibration And Repair (O.S.C.A.R.), Samantha Rogers, Chloe Arnold, Ava Laudadio
Discovery Day - Daytona Beach
Low Earth Orbit (LEO) satellites operate in an environment that exposes them to cumulative radiation effects, micrometeoroids, and orbital debris, and limited opportunities for post-launch intervention. These factors can degrade satellite performance over time, leading to anomalies that may cause data corruption, mission failure, or require human intervention for repair. While previous on-orbit servicing efforts have demonstrated repair and life-extension capabilities, most have focused on Geosynchronous satellites or controlled test environments, leaving a gap in servicing concepts tailored specifically to LEO satellites.The O.S.C.A.R. (Orbital Servicing, Calibration, and Repair) project investigates the design of a robotic servicing system for inspecting, calibrating, …
Designing Under Pressure: A Comparative Study Of Ai And Manual Interface Development In A Naval Weapon System Scenario,
2026
Embry-Riddle Aeronautical University
Designing Under Pressure: A Comparative Study Of Ai And Manual Interface Development In A Naval Weapon System Scenario, Tsimur Babakhanau, Noah Clark, Colby Keller, Mary Grace Sorenson, Zoe Tiede
Discovery Day - Daytona Beach
This study implements a detailed naval scenario in which participants acted as operators on a Navy destroyer equipped with a Laser Weapon System (LaWS). Their task was to create a dashboard capable of stopping incoming suicide drone swarms while managing critical laser functions such as thermal constraints, threat prioritization, and adapting to attack dynamics. Poor management could leave the ship vulnerable. AI is increasingly integrated into design methods, fundamentally transforming the process of building user interfaces by compressing hours of work into minutes. Although AI design tools are becoming more common, little is known about how well beginners can use …
Navigating Enhanced Exploration Assistance (Nexa),
2026
Embry-Riddle Aeronautical University
Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston
Discovery Day - Daytona Beach
NEXA is an artificial intelligence software platform developed to enhance residential security and property monitoring through seamless integration with autonomous drone systems. This research application of advanced AI in surveillance aims to create a standalone solution capable of real-time threat detection and intelligent alert management. By processing visual and sensory data, NEXA facilitates autonomous drone operation with minimal human intervention. Secure communication channels ensure that instant alerts are delivered to property owners and, potentially, law enforcement, improving response times in security incidents, search-and-rescue operations, and perimeter surveillance. Additionally, NEXA is capable of interfacing with commercially available drone platforms and presents …
Robotic Arm Development For Cone Penetration Testing On The Lunar Surface,
2026
Embry-Riddle Aeronautical University
Robotic Arm Development For Cone Penetration Testing On The Lunar Surface, Jonah Graff, Derek Zhang
Discovery Day - Daytona Beach
Just as on Earth, future lunar operations will require accurate characterization of surface conditions. On Earth, a proven method for this is Cone Penetration Testing (CPT), which evaluates soil bearing capacity and stratification. This information is vital for lunar operations, including habitat construction, resource extraction, and safe pathfinding. However, traditional CPT systems are designed for human operation and lack autonomy. This project addresses that limitation by developing an autonomous, in-situ terrain characterization system for lunar surfaces. The device is driven by ball-screw actuators powered by stepper motors and controlled through an Arduino Mega, using a combination of metal and 3D-printed …
Advanced Manufacturing And Materials Of A Bio-Mimetic Hoof For Space Robotics Applications,
2026
Embry-Riddle Aeronautical University
Advanced Manufacturing And Materials Of A Bio-Mimetic Hoof For Space Robotics Applications, Benjamin Heckel
Discovery Day - Daytona Beach
Planetary surfaces often feature steep, uneven, and unpredictable terrain conditions that resemble some of the most challenging natural environments on Earth. In these terrestrial settings, certain animals have evolved to navigate complex landscapes with remarkable agility. One example is the mountain goat, an animal whose hooves have evolved for stable and precise movement across rocky, inclined surfaces. This biological adaptation provides a useful model for improving robotic mobility in planetary exploration. This study draws inspiration from that natural adaptation to develop a bio-mimetic robotic hoof designed to enhance traction, durability, and adaptability for extraterrestrial exploration. By replicating the mechanical properties …
Phaëthon System,
2026
Embry-Riddle Aeronautical University
Phaëthon System, Brady Roudabush, Lauren Gallo, Emelia Thompson, Jacob Woods
Discovery Day - Daytona Beach
Phaëthon System is the project name for the Search and Rescue Drone Initiative. This initiative will improve the current search and rescue drone industry by introducing new techniques to get through dense forest canopies and other places where an overhead view is not useful. The Phaëthon System uses a swarm of drones that can penetrate under the tree canopy to map and search with the utmost efficiency and safety for rescuers. A command drone is launched to survey the overall search area, and set up a communications and data link. The next component is then released, which is a swarm …
Interplay Between Physical Design Choices And Emergent Cyber System Consensus: A Case Study With An Underwater Swarm,
2026
Embry-Riddle Aeronautical University
Interplay Between Physical Design Choices And Emergent Cyber System Consensus: A Case Study With An Underwater Swarm, Ava Neubert
Discovery Day - Daytona Beach
Understanding how physical constraints influence collective behavior is critical for designing cyber-physical multi-agent systems in communication-limited environments. This project investigates how agent mobility and communication constraints affect opinion dynamics in a three-dimensional underwater swarm. An agent-based model was developed in AnyLogic, where agents follow realistic motion dynamics and exchange information at discrete communication intervals to reflect underwater limitations. Agent opinions are modeled using a BOIDS-inspired consensus mechanism in RGB space, allowing visualization of convergence behavior. A sensitivity analysis was conducted to evaluate the effects of communication range, agent speed, turn rate, and swarm size. Results show that communication range has …
Automation And Robotics In Timber Construction Prefabrication,
2026
Embry-Riddle Aeronautical University
Automation And Robotics In Timber Construction Prefabrication, Jason Grabowski, Anish Mandyam, Samuel Mcaraw, Jacob Jander
Discovery Day - Daytona Beach
Robotics and automation have varying degrees of utilization across the construction prefabrication industry. The timber prefabrication industry is uniquely positioned for the implementation of robotics and automation due to the environment being more controlled than most of the construction industry. Current developments are influenced by the evolution of "Construction 4.0/5.0," where the integration of digital technologies and robotics is transforming timber prefabrication from traditional subtractive CNC machining into a highly precise, additive, and collaborative process. The purpose of this project is to conduct a systematic literature review of the state of-the-art and near-future developments of automation and robotics in timber …
The Electric Crackdown: Exploring The Human Factors Impacts Of Controls & Displays In Evs Across The Market,
2026
Embry-Riddle Aeronautical University
The Electric Crackdown: Exploring The Human Factors Impacts Of Controls & Displays In Evs Across The Market, Rae Okada, Robin Hanen, Liam Brennan
Discovery Day - Daytona Beach
Title: The Electric Crackdown: Exploring the Human Factors Impacts of Controls & Displays in Electric Vehicles Across the Market Despite a global adoption of electric vehicles (EVs) with partial driving automation (i.e., advanced driver assistance systems; ADAS), differences exist at societal (i.e., legislation, regulation), individual (i.e., use of), and system (i.e., vehicle-to-vehicle) levels surrounding these vehicles. While these former societal divergences can be considered based on the: (1) mechanisms promoting or limiting EV adoption, (2) number of EVs on the road, and (3) respective incident reports; system differences require investigation for each vehicle based on its make and model. In …
Rockin’ Rover On The Rainbow Road,
2026
Palm Beach Atlantic University
Rockin’ Rover On The Rainbow Road, Michael Kolta, Lawrence Burgee, Ying Yuan
Transformations
This paper presents a progressive series of age-appropriate lesson plans for grades K-12 that all use the same interdisciplinary activity to educate students about Science, Technology, Engineering, Art, and Mathematics (STEAM) simultaneously. Technology from Texas Instruments (TI) was employed including a TI Nspire graphing calculator that can run Python programs, a TI Innovator Hub, and a TI Rover. The TI Rover is a small, robotic car that has sensors and is controlled by the calculator via the Hub hardware interface. A Python program was developed that uses the color sensor in the Rover to detect the color on colored paper …
Evaluating Diagnostic Information Preservation In Weakly Supervised Medical Imaging,
2026
Florida Atlantic University
Evaluating Diagnostic Information Preservation In Weakly Supervised Medical Imaging, Vinceline Bertrand
Electronic Theses and Dissertations
Weakly supervised medical imaging models trained with coarse image-level labels often report strong performance on metrics such as accuracy and AUC. This thesis argues that these metrics can be misleading: a model may succeed on a coarse diagnostic task while failing to preserve the fine-grained information needed for consequential clinical decisions. It makes this failure measurable through the diagnostic gap, defined as the divergence between coarse and fine-grained diagnostic preservation, across three connected studies. The first shows that near-perfect ovarian ultrasound accuracy reflects visual separability rather than pathological understanding. The second measures the diagnostic gap in a mammographic pipeline, where …
Tackling Oversmoothing, Heterogeneity, And Label Distributions For Robust Graph Learning,
2026
Florida Atlantic University
Tackling Oversmoothing, Heterogeneity, And Label Distributions For Robust Graph Learning, Yufei Jin
Electronic Theses and Dissertations
With the tremendous development of graph neural networks, graph learning has become a dominant solution applied to various applications naturally integrated with graph structures, including traffic networks [82], molecule networks [40, 22, 1, 30, 32], social networks [4], etc. While most existing graph learning solutions can handle homogeneous graphs (graphs with a single node type and a single edge type) and homophily graphs (graphs where node labels tend to be the same as their neighbors) for multi-class node classification downstream tasks well, in real world applications, graph structures can be more complex with heterogeneous graphs (graphs with multiple node types …
Development And Testing Of A Computer Vision Pose Estimation System For Planar Mobile Robots,
2026
California Polytechnic State University, San Luis Obispo
Development And Testing Of A Computer Vision Pose Estimation System For Planar Mobile Robots, Andrew Jones
Master's Theses
This thesis details the development and testing of a computer vision-based real-time pose estimation system for differential drive robots. A single camera with a fisheye lens is used to locate ArUco markers placed at fixed locations and attached to robots. Using the OpenCV library, the Perspective-n-Point (PnP) problem is solved to facilitate the transformation of 2-D robot positions in an image to world-frame coordinates. An analytical solution is presented to estimate robot poses based on a single PnP solution, rather than solving the PnP problem for each pose estimate. Pose information is relayed to individual robots using a multi-microcontroller architecture …
