Invention Description Type 1 diabetes (T1D) is an autoimmune disease where the body attacks and destroys insulin-producing beta cells in the pancreas and affects nearly 10 million people globally. Because glucose needs to be continuously monitored for precise insulin dosing, managing T1D is challenging. While automated insulin delivery (AID) systems...

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....

Background Ground-based snow monitoring stations have long supported water management, forecasting, and planning. Recent advancements in remote sensing technology have improved the ability to monitor snow cover at broader scales. Satellite imagery, such as that from the Moderate Resolutiion Imaging Spectroradiometer (MODIS), have been used to track...

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....

Modern AI for strategic games including chess has evolved from early rule-based systems such as brute force engines that relied on handcrafted heuristics and exhaustive search, to sophisticated learning-based methods that can create and refine their own strategies. Reinforcement learning (RL) programs including Alpha Zero mastered chess starting with...

Background Modern electrical grids tend to have higher penetration of intermittent energy sources. The grid infrastructure is also more susceptible to physical damage due to increased extreme weather events. Grid operators have to run multiple power flows for different scenarios in real time to continuously monitor the system states and make necessary...

Background Quality in manufacturing ensures the adherence of built products to the specifications set by the designer and their proper functioning when put into operation. An important factor influencing products’ quality is the contamination of process (or build) parameters used during the manufacturing process. The choice of these build conditions...

Background The civil aviation industry is losing air traffic control talents during a time when the need for maintaining daily operations is surging. This situation leads to increased operational costs, higher safety concerns, an elevated workload for air traffic controllers, and frequent flight delays. It is reported that 20% of the civil flights...

Background Text classification models have become increasingly prevalent in cybersecurity applications, but remain susceptible to adversarial examples (e.g., carefully crafted sentences with human-unrecognizable changes to the inputs, that are misclassified). Adversarial attacks provide profound insights into the classifiers’ vulnerabilities,...