Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Triboelectric Nanogenerators in Military: Recent Progress and Critical Challenges
The rapid evolution of modern warfare toward distributed, intelligent, and global stealth has posed severe energy supply and information perception bottlenecks for combat nodes. Traditional energy supply strategies are unable to meet the strategic...
Structural Health Monitoring of Offshore Energy Deployments with Robotics and Deep Learning
The harsh ocean environment can structurally degrade ocean renewable energy installations from biofouling, fatigue cracking, spalling, and corrosion. Structural defects can lead to excessive downtime and increased operational and maintenance (O&M)...
Hypersonic Synthetic Environment Test Tunnel (HySETT) Combined With Marshall Enriched Storable Oxidizer (MESO) Combustion Heating
Combustion heating for creating enthalpies needed for hypersonic temperatures is routinely done, albeit accepting the exhaust products like water vapor, carbon dioxide or soot. Sometimes condensing moisture causes problems in a hypersonic tunnel a...
Modeling Shockwave-Induced Cavitation Effects Using a Coupled Gilmore–Wood Framework
Supercavitation enables significant drag reduction and high-speed underwater propulsion by enveloping a vehicle within a vapor cavity, thereby minimizing liquid–solid interaction. While this capability allows extreme transit velocities, it introdu...
COMPARATIVE ANALYSIS OF TARGET LOCALIZATION ACCURACY IN RADAR PPI IMAGES USING GEOMETRIC ENCLOSURES
Maritime surveillance system requires sensor fusion of radar Plan Position Indicator (PPI) imagery with Automatic Identification System (AIS) data. However, systematic azimuth errors (0°–5°) and irregular echo shapes reduce ship localization accur...
Towards Realistic 3D Sonar Simulation
As underwater robotics research increasingly addresses complex 3D perception and autonomous navigation, the fidelity of sonar simulation has become a key factor in algorithm development. Current simulation frameworks typically rely on geometry-dri...
Opti-Acoustic SLAM for Autonomous Docking Localization
We propose a hybrid camera/sonar localization system for Autonomous Underwater Vehicles (AUVs) operating in and around Wave Energy Converters (WECs). With plans underway to deploy WECs to create new streams of reliable and sustainable energy, AUVs...
Artificial Intelligence–Enabled mHealth Technologies for Rehabilitation in Patients with Cancer: A Scoping Review
Mobile health (mHealth) technologies have expanded cancer care, particularly in the context of rehabilitation, by enabling remote monitoring and support. The incorporation of artificial intelligence (AI) strategies into these technologies has the ...
Opti-Acoustic SLAM for Autonomous Docking Localization
We propose a hybrid camera/sonar localization system for Autonomous Underwater Vehicles (AUVs) operating in and around Wave Energy Converters (WECs). With plans underway to deploy WECs to create new streams of reliable and sustainable energy, AUVs...
YOLO-CAB: An Efficient Deep Learning-Based Underwater Object Detection Method for Autonomous Underwater Vehicles
High-precision environmental perception is essential for deep-sea exploration and autonomous underwater vehicle operations. However, physical factors such as light scattering and selective absorption, along with high target–background similarity, ...
Unveiling the Dynamics of Super Apps: Adoption Factors and Strategic Insights across Key Industries
This study examined the emerging phenomenon of super apps, which are comprehensive platforms transforming mobile applications worldwide. It expanded the focus beyond mobility-based super apps to analyze their adoption across five critical sectors:...
Numerical study of wave energy converters with integrated tethered docks for UUV docking and charging.
This study investigates the integration of wave energy converters (WECs) with unmanned underwater vehicle (UUV) docking systems, addressing critical challenges in both energy sustainability and docking reliability for persistent UUV operations. Wh...
Underwater Optical Communications: From Photodiodes to Single-Photon Detectors
This paper reviews key hardware components of underwater wireless optical communica-tions (UWOC) , with particular emphasis on photodetectors (PD). The growing demand for high-speed, low-latency underwater data links, driven by applications in aut...
Numerical study of wave energy converters with integrated tethered docks for UUV docking and charging.
This study investigates the integration of wave energy converters (WECs) with unmanned underwater vehicle (UUV) docking systems, addressing critical challenges in both energy sustainability and docking reliability for persistent UUV operations. Wh...
Comments: Oceangoing Robots Show Off Their Potential at OTC
In the 1960s, Shell Oil and Hughes Aircraft developed a 14-ft-long, 7,000-lb manipulator-operated robot known as Mobot. The system was deployed to the seafloor and connected to operators on a surface vessel through a 200-ft umbilical that provided...
The autonomous mission: A theory of value-aligned optimization in the age of intelligent agents
The misalignment of Artificial Intelligence (AI) with established objectives will lead to a perplexing array of existential risks, ranging from autonomous nuclear defense systems to detrimental United Nations (UN) disaster-response robots, as inad...
SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery
Side-scan sonar is a critical instrument for underwater cultural heritage preservation, as it allows large-scale detection of shipwrecks in turbid waters where optical methods fail. However, the automated segmentation of these targets remains a si...
ГІБРИДНА АРХІТЕКТУРА ВІЗУАЛЬНО-ІНЕРЦІАЛЬНОЇ SLAM ДЛЯ ЗАБЕЗПЕЧЕННЯ БЕЗПЕРЕРВНОЇ НАВІГАЦІЇ В УМОВАХ ОБМЕЖЕНОЇ ВИДИМОСТІ
The relevance of the study is determined by the need to ensure reliable and continuous navigation of autonomous mobile systems under low-visibility conditions, where conventional visual localization methods lose effectiveness, while inertial senso...
Estimating mechanical impedance from hydrophone measurements
Integrating machine learning or deep learning models into autonomous underwater vehicles often requires extra steps with an accuracy trade-off, and the scarcity of training datasets makes it inconvenient. This work introduces a reduced-order ident...
Poster: Physics Based Digital Twin Framework for an Autonomous Underwater Vehicle
The performance of Autonomous Underwater Vehicle (AUV) is extremely difficult to analyze in the digital world due to limited communication and lack of GPS in underwater. The major challenge is modeling the dynamic environment. This work presents a...
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