In the rapidly advancing landscape of deep reinforcement learning (RL), recent studies have highlighted vulnerabilities in control policies learned through deep RL. These vulnerabilities raise concerns surrounding adversarial attacks, especially in risk-sensitive domains such as autonomous driving. In these scenarios, the learned policies become susceptible...

Multi-robot systems (MRS) composed of multiple mobile robots have been used for various collective exploration and perception tasks, such as mapping unknown environments, disaster response, and surveillance and monitoring. The performance of MRS in such applications is constrained by the capabilities of the payloads that the robots can carry on-board,...

Protecting mobile devices from unauthorized access is becoming more than indispensable these days. In particular, mobile devices such as smartphones and tablets are pervasive and store increasingly highly sensitive information about a user (e.g., contacts, usernames, passwords, emails, browser histories, business secrets, health conditions, etc.)....

Type 1 Diabetes (T1D) is one of the most common juvenile autoimmune diseases and is characterized by progressive destruction of pancreatic ß-cells. By the time of T1D diagnosis, around 70-90% of pancreatic ß-cells are already dead. T1D patients face many potential health complications and co-morbidities which lead to both personal and societal...

­Visually impaired individuals often rely on assistive devices that attempt to encode spatial information into other means such as audio or tactile signals. However, challenges in implementation and interpretation of spatial information still exist. For instance, many existing devices still provide limited information to a user that the user must...

Chronic stress has been widely implicated in a plethora of lethal and life-altering diseases including diabetes, heart attacks, depression, Alzheimer's and osteoporosis. Thus, there is great interest in monitoring stress levels in the population. Stress has both biochemical and physiological effects on the body that can be quantified in bodily fluids....

Faults in utility-scale solar arrays often lead to increased maintenance costs and reduced efficiency. Since photovoltaic (PV) arrays are generally installed in remote locations, maintenance and annual repairs due to faults incur large costs and delays. To automatically detect faults, PV arrays can be equipped with smart electronics that provide data...

The efficiency of biofuel production depends on the photosynthetic activity of microbes; to maximize their growth it is necessary to continually monitor the environmental conditions. Traditional monitoring methods (such as using electrodes to measure CO2 consumption and/or O2 generation) are typically time- and labor-intensive, have low throughput,...

High throughput parallel assays are needed to effectively identify and study biomolecules and their activity. Typically it takes a large number of repeated assays to get statistically significant data for studying biomolecules. However, fewer assays would be needed to get statistically meaningful results if the data were of higher quality. Because of...

Pressure/force sensors and transducers have wide utility in mechanical, medical and industrial applications, with each industry striving for increased performance. Three key features determine how successful a pressure sensor may be: sensitivity, durability, and cost. Because of their robust and inexpensive nature, transformative electrochemical pressure/force...