Lithium-metal batteries (LMBs), an emerging type of rechargeable lithium-based batteries made of solid-state metal instead of lithium-ions, are among the most promising high-energy-density rechargeable battery technologies. Although they have some advantageous...
To move efficiently and safely within different environments, robotic systems typically monitor both their own movements and their surroundings as they try to navigate safely and avoid nearby obstacles. The measurements they gather generally make sense with respect to...
Event sensors, such as DVS event cameras and NeuTouch tactile sensors, are sophisticated bio-inspired devices that mimic event-driven communication mechanisms naturally occurring in the brain. In contrast with conventional sensors, such as RGB cameras, which are...
Two important factors limiting Moore's Law are power consumption and Coulomb interactions. Coulomb interactions are interactions between electric charges that follow Coloumb's law, an electrodynamics theory.
In recent years, researchers have been trying to develop increasingly efficient and advanced solar technologies. One way of increasing the efficiency of solar cells is to reduce energy losses (i.e., voltage losses) caused by non-radiative recombination processes.
Individual neurons in the human brain can efficiently perform so-called Boolean operations; a type of algebraic operations that include union, subtraction and intersection. Computing systems that emulate biological neurons, such as neuromorphic computing systems,...
Over the past few decades, roboticists have created increasingly advanced and sophisticated robotics systems. While some of these systems are highly efficient and achieved remarkable results, they still perform far poorly than humans on several tasks, including those...
High dark current can significantly impair the performance of infrared photodetectors, devices that can detect photons in the form of infrared radiation. For many years, most solutions for blocking dark current used the electric field inside the detectors.
Researchers at University of Michigan have recently developed a bi-directional model that can predict how much both humans and robotic agents can be trusted in situations that involve human-robot collaboration. This model, presented in a paper published in IEEE...
Over the past few decades, computer scientists have developed computational tools that can generate specific types of data, such as images, words or audio recordings. These systems could have a variety of valuable applications, particularly in creative fields that...