Background Under-actuated compliant systems have grown in prevalence in recent years in the soft robotics area. The coupled stiffness and damping characteristics of system structure and materials of these systems enable robotic systems for tasks including locomotion and gripping. Legged robots in particular exhibit superior maneuverability in intricate...

Background There have been growing concerns relating to public safety and law enforcement in urban environments, particularly in New York City. The interconnected nature of mass shootings, hate crimes, and criminal complains remains a matter of significant concern. This has prompted the need for a comprehensive and data-driven approach to understand...

Background The increasing frequency and severity of wildfires creates difficulty for power engineers to decide on the best course of action for ensuring reliable and resilient system operation. To enable informed decision-making in the presence of active wildfire risks, knowledge of the local environmental conditions surrounding the electric power...

Background Integrated sensing and communication (ISAC) has been envisioned to benefit various emerging applications in the future, with enhanced spectral, energy, and hardware efficiency. One potential scenario is the use of radio frequency identification (RFID) for inventory management in warehouses or retail stores, where low-cost passive RFID tags...

Background Deep neural networks (DNNs) are an important tool in enhancing deep learning capabilities, but they have substantial computational and memory requirements. Quantization is one of the important model compression approaches to address the mismatch between resource-hungry DNNs and resource-constrained devices, by converting the full-precision...

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 Next-generation wireless networks in beyond-5G and 6G face critical challenges in meeting increasing demands for fast data rates and strict requirements on mobility, reliability, latency, and energy efficiency. Current approaches to satisfy the data rate requirements include using high-frequency bands in millimeter wave (mmWave) and sub-terahertz,...

Background Millimeter-wave (mmWave) and terahertz (THz) frequency bands are growing in prevalence in current and future communication systems. These frequency ranges provide higher bandwidths, which enable the communication systems to efficiently meet the higher data requirements of high speed applications including augmented or virtual reality, autonomous...

Background Positive unlabeled (PU) learning is a semi-supervised machine learning approach to a binary classification problem in which most of the data is unlabeled. PU learning algorithms reduce the computational cost of training machine learning classifiers, because the labeling of data is time-intensive for supervised machine learning algorithms....

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...