Invention Description Retrieval-Augmented Generative (RAG) models boost generative AI’s accuracy by connecting large language models (LLMs) with the most current, external, knowledge sources. RAG models are widely used in fact-checking, information retrieval, and AI-driven search engines. Despite their utility, adversarial threats can exploit...

Invention Description The rapid growth of air traffic has placed increasing strain on modern Air Traffic Management (ATM) systems, particularly in congested airspaces where safety and efficiency are critical. Traditional static airspace sectorization methods are increasingly inadequate for handling dynamic traffic patterns and uneven workload distribution...

Invention Description Detecting bright point scatterers is important to quality assessments of sonar, radar and medical imaging systems, particularly as it pertains to resolution characterization. Prominent, or coherent, scatterers are typically detected using thresholding techniques in addition to statistical measures in the detection processing chain....

Invention Description UAVs rely on fiducial markers, such as AprilTag or Aruco, to help with navigation and precision landing under GPS-denied environments. However, these markers are facing significant limitations in dense urban environments from adverse weather conditions, low visibility, urban clutter as well as security risks from tampering. These...

Continuous-time reinforcement learning (CT-RL) algorithms hold great promise in real-world control applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical developments, have achieved great successes. However, these methods have not been demonstrated for solving realistic or meaningful learning control problems....

Event-based cameras that asynchronously detect changes in pixel brightness with high temporal resolution, high dynamic range, and low-power, have been very successful for robotic vision and autonomous navigation. Depth estimation from monocular or stereo event cameras is an important task which helps improve downstream robotic localization and mapping...

This algorithm is developed in the field of control systems for control of affine nonlinear continuous time (CT) systems, which include important application areas such as robotics and autonomous systems, aerospace, manufacturing, and process control. This invention falls under the class of continuous-time reinforcement learning (CT-RL) control algorithms....

Unknown-unknowns are operational scenarios in AI enabled autonomous systems, such as human-in-the-loop (HIL) human-in-the-plant (HIP) systems, which are not accounted for and may represent a major challenge in the design and validation phase. In these scenarios, the operational behavior of the systems is not guaranteed to meet requirements such as safety...

Background In virtual reality, the utilization of technology that uses touch and vibrations to communicate with users, simulating tactile sensations like pressure, resistance, and texture (haptic feedback), is often quite unrealistic when users engage with virtual fluids. Vibrotactile actuators are small motors or vibrators that generate haptic feedback,...

Background Private transportation is currently the most common form of transportation in the United States. Cars are an essential commodity, with each household in America typically having at least one car. However, finding an open parking space can be a daunting task, especially with the surge in the number of city vehicles. Navigating through a...