Researchers at UC Berkeley have developed a reproducible, low-cost and compact benchmark platform to evaluate robotic learning approaches, which they called REPLAB. Their recent study, presented in a paper pre-published on arXiv, was supported by Berkeley DeepDrive,...
Over the past decade or so, advancements in machine learning have enabled the development of systems that are increasingly autonomous, including self-driving vehicles, virtual assistants and mobile robots. Among other things, researchers developing autonomous systems...
Researchers at Fraunhofer IPA, in Stuttgart, Germany, have recently developed MobiKa, a low-cost, mobile robot capable of two-modal (voice and text) interactions with humans. Their robot, presented in a paper pre-published on arXiv, could be particularly useful for...
Researchers from the Century Mold Collaborative Robotics Laboratory (CMCRL) at Rochester Institute of Technology (RIT) in New York have recently developed a new framework for monitoring human physiological responses while users are collaborating with a robot to...
In recent decades, technological advances have opened up exciting new possibilities for research in a variety of fields, including physics. Nonetheless, creating sophisticated simulations to represent or address multiphysics problems using computing resources can...
Researchers at the University of California (UC) Berkeley have recently designed two insect-scale microbots, one that jumps and another that flaps its artificial wings. These robot designs, presented in two papers pre-published on arXiv, mimic real biological...
Data-oriented attacks allow hackers to manipulate non-control data and alter a program's behavior, often causing significant damage to the systems affected. Researchers at Virginia Tech, Clemson University, Pennsylvania State University and Aalto University have...
Researchers at the University of Sfax, in Tunisia, have recently developed a new method to recognize handwritten characters and symbols in online scripts. Their technique, presented in a paper pre-published on arXiv, has already achieved remarkable performance on...
Human decision-making is often difficult to predict and delineate theoretically. Nonetheless, in recent decades, several researchers have developed theoretical models aimed at explaining decision-making, as well as machine learning (ML) models that try to predict...
When participating in a video call or conference, it is often hard to maintain direct eye contact with other participants, as this requires looking into the camera rather than at the screen. Although most people use video calling services on a regular basis, so far,...