Sen has successfully demonstrated the world’s most powerful ever video streaming platform to operate in space, and the world’s first 4K video from a satellite: https://sen.com/press/press-release
Sen 4K video from space
Posted in space
Posted in space
Sen has successfully demonstrated the world’s most powerful ever video streaming platform to operate in space, and the world’s first 4K video from a satellite: https://sen.com/press/press-release
Posted in futurism
Autonomous vehicles might someday be able to navigate bustling city streets to deliver groceries, pizzas, and other packages without a human behind the wheel. But that doesn’t solve what Ford Motor CTO Ken Washington describes as the last 50-foot problem.
Ford and startup Agility Robotics are partnering in a research project that will test how two-legged robots and self-driving vehicles can work together to solve that curb-to-door problem. Agility’s Digit, a two-legged robot that has a lidar where its head should be, will be used in the project. The robot, which is capable of lifting 40 pounds, can ride along in a self-driving vehicle and be deployed when needed to delivery packages.
“We’re looking at the opportunity of autonomous vehicles through the lens of the consumer and we know from some early experimentation that there are challenges with the last 50 feet,” Washington told TechCrunch in a recent interview. Finding a solution could be an important differentiator for Ford’s commercial robotaxi service, which it plans to launch in 2021.
A new University of Colorado Boulder study, published in the journal Experimental Physiology, helps explain why.
It found that people who sleep fewer than 7 hours per night have lower blood levels of three physiological regulators, or microRNAs, which influence gene expression and play a key role in maintaining vascular health.
The findings could potentially lead to new, non-invasive tests for sleep deprived patients concerned about their health, the authors said.
Posted in materials
Posted in robotics/AI
SpotMini autonomously navigates a specified route through an office and lab facility. Before the test, the robot is manually driven through the space so it can build a map of the space using visual data from cameras mounted on the front, back and sides of the robot. During the autonomous run, SpotMini uses data from the cameras to localize itself in the map and to detect and avoid obstacles. Once the operator presses ‘GO’ at the beginning of the video, the robot is on its own. Total walk time for this route is just over 6 minutes. (The QR codes visible in the video are used to measure performance, not for navigation.)