Researchers at Stanford University have recently created an open-source quadruped robot called Stanford Doggo. Their robot, presented in a paper pre-published on arXiv and set to be published by IEEE Explore, exceeds the performance of many state-of-the-art legged...
TECHXPLORE
Surface organometallic chemistry could open new paths for synthetic fuels and energy carriers
To convert hydrocarbons into fuel, the petrochemical industry currently relies primarily on heterogeneous catalysts, which in most cases contain active metal sites with poorly defined structures. In recent years, however, an area of study known as surface...
PoseRBPF: A new particle filter for 6D object pose tracking
Researchers at NVIDIA, University of Washington, Stanford University, and University of Illinois Urbana-Champaign have recently developed a Rao-Blackwellized particle filter for 6-D pose tracking, called PoseRBPF. The approach can effectively estimate the 3-D...
PULP Dronet: A 27-gram nano-UAV inspired by insects
Researchers at ETH Zürich and the University of Bologna have recently created PULP Dronet, a 27-gram nano-size unmanned aerial vehicle (UAV) with a deep learning-based visual navigation engine. Their mini-drone, presented in a paper pre-published on arXiv, can run...
PuzzleFlex: Computing the kinematic motion of systems with loose joints
Small motions between individual parts in jigsaw puzzles, LEGO buildings, human backbones and systems of connectable modular robots can allow flexing of their entire structures. A team of researchers at Dartmouth College has recently carried out a study exploring the...
Randpay: a technology for blockchain micropayments that requires a recipient’s consent
Two researchers at Emercoin, a decentralized peer-to-peer (p2p) network providing secure blockchain business services, have recently developed a new technology called Randpay that only allows users to complete payments and transactions with a recipient's consent....
REPLAB: A low-cost benchmark platform for robotic learning
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,...
ROBOSHERLOCK: a system to enhance robot performance on manipulation tasks
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...
A vision for the creation of 6G communications
Now that the standardization of fifth-generation (5G) communications has been accomplished, with the 5G network set to be launched this year, researchers have already started thinking about what a 6G network could look like. An interesting perspective on the future...
Selecting the best features for phishing attack detection algorithms
In recent decades, phishing attacks have become increasingly common. These attacks allow attackers to obtain sensitive user data, such as passwords, usernames, credit card details, etc., by tricking people into disclosing personal information. The most common type of...