Researchers at UC Berkeley and Facebook AI Research have recently developed a new approach for robot navigation in unknown environments. Their approach, presented in a paper pre-published on arXiv, combines model-based control techniques with learning-based perception.
When it comes to predicting the costs of new energy systems and technologies, researchers must consider learning rates, which are estimated measures of technological progress. In fact, technological advances are typically associated with higher technological...
In recent years, research teams worldwide have developed new methods for simultaneous localization and mapping (SLAM). These techniques can be used to construct or update maps of a given environment in real time, while simultaneously tracking an artificial agent or...
Conformable imagers are flexible electronic components that can be placed in direct contact with a human user's skin, recording his/her vital signs or other biological information. Over the past few years, these imagers have become widely used, particularly for...
2-D semiconductors could have very useful applications, particularly as channel materials for low-power transistors. These materials display very high mobility at extreme thicknesses, which makes them particularly promising alternatives to silicon in the fabrication...
Artificial intelligence and robotics architectures are often inspired by patterns occurring in nature, both in humans and animals. Patterns of movement observed in animals have been replicated in robots via a number of shape-changing mechanisms such as chemical...
Two researchers at Shanghai University of Electric Power have recently developed and evaluated new neural network models for facial expression recognition (FER) in the wild. Their study, published in Elsevier's Neurocomputing journal, presents three models of...
Researchers at the Robert Bosch center for cyber physical systems in Bangalore, India, have recently proposed a simulation framework to systematically study the effects of spinal joint actuation on the locomotion performance of quadruped robots. In their study,...
The batteries used to power electric vehicles have several key characterizing parameters, including voltage, temperature, and state of change (SOC). As battery faults are associated with abnormal fluctuations in these parameters, effectively predicting them is of...
In a recent study, researchers at the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) in Adelaide have tried to use ecology-related concepts to model effective cast sizes for movies, focusing on characters from the Marvel Cinematic Universe...