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, the Office of Naval Research (ONR), Google, NVIDIA and Amazon. “Machine learning-based approaches have begun to grow popular in […]
Fog Robotics: A New Approach to Achieve Efficient and Fluent Human-Robot Interaction
Researchers at the Innovation and Enterprise Research Laboratory (The Magic Lab) of the University of Technology Sydney have proposed a new robotics architecture called fog robotics (FR). Their approach, outlined in a paper pre-published on arXiv, leverages the strengths of fog computing, a decentralized computing structure in which resources and data are placed between their […]
Motion Planning for Automated Driving Under Uncertainty and with Limited Visibility
Researchers at the FZI Research Center for Information Technology have developed a new method that could improve the motion planning of autonomous vehicles within uncertain environments or in conditions of limited visibility. Their paper, pre-published on arXiv, outlines a technique to avoid collisions in the worst-case evolution of a given scenario. “Automated driving in urban environments and […]
Evolving the Physical Structure of Robots to Enhance Performance in Environments
Researchers at CSIRO & Queensland University of Technology have recently carried out a study aimed at automatically evolving the physical structure of robots to enhance their performance in different environments. This project, funded by CSIRO’s Active Integrated Matter Future Science Platform, was conceived by David Howard, research scientist at Data61’s Robotics and Autonomous Systems Group […]
Allusive Machines: How New Technologies Could Shape Beliefs and Theories About Life
Two researchers at the IT University of Copenhagen have recently carried out a fascinating study that introduces the concept of “allusive machines,” exploring how technical systems can persuade users into shaping their own beliefs, particularly beliefs related to the nature of life. This notion is inspired by previous studies that described technology as instruments of […]