Motion planning is a cornerstone of autonomous robots, enabling robots to safely and efficiently perform tasks such as package delivery, infrastructure inspection, and manipulation. However, as the field of robotics matures, robotic systems are being developed that (1) are challenging to analytically model, (2) require computationally expensive model-based controllers, and...
Powder Metallurgy Hot Isostatic Pressing (PM-HIP) is a widely recognized powder metallurgy manufacturing process to produce near-net-shape and net-shape components. During general PM-HIP processes the metal powders are filled within a capsule (die), heated and loaded with high pressure simultaneously, and solidified to form the final product. Due to the...
Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
With the increased demand for high-quality products, reliable and robust process monitoring has become a key capability for modern manufacturing systems. Through sensors installed in the machinery, the real-time information was measured to assess the state of the processes. The measured data can be used to infer the mechanical, material,...
Improvement behaviors, specifically double loop, have been linked to successful lean implementations. Although the lean literature supports individual cognitive transformation to double loop learning as an important element of lean success, there remains a strategic methodology to achieve sustainable double loop behavior. Perceptions toward behavior and employee satisfaction have been...
Low-power receivers (RX) with 100$\mu W$-scale power consumption can enable several power/energy-constrained IoT applications. However, achieving sensitivity, interferer tolerance and wide operating range with low power presents a challenge for existing architectures, particularly those constrained to highly integrated solutions without high-Q off-chip components. Existing solutions rely heavily on high quality...
Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
Septoria canker remains the most important disease of poplars in intensively managed forest plantations. Genetic resistance has long been considered the best way to manage for this disease. Transgenic resistance mediated by RNA silencing against pathogens and pests (HIGS: host-induced gene silencing) has shown promise in other pathosystems but has...
The California Current Large Marine Ecosystem (CCLME), located on the eastern boundary of the North Pacific Ocean, is highly dynamic, with variable conditions driven by seasonal upwelling, regional oceanography, and broad scale climate patterns. In the last decade, the northeast Pacific Ocean has experienced several marine heatwaves (MHWs), prolonged periods...
Microplastics (MPs) are plastic particles less than 5 mm in diameter. These contaminants are increasingly found in the environment due to increased plastic production, use, and improper disposal. Detecting and measuring these contaminants in the environment has proven difficult, requiring the use of fate and transport models to assess MP...