Lifeboat Foundation

Researchers from North Carolina State University have developed a technique for measuring speed and distance in indoor environments, which could be used to improve navigation technologies for robots, drones—or pedestrians trying to find their way around an airport. The technique uses a novel combination of Wi-Fi signals and accelerometer technology to track devices in near-real time.

“We call our approach Wi-Fi-assisted Inertial Odometry (WIO),” says Raghav Venkatnarayan, co-corresponding author of a paper on the work and a Ph.D. student at NC State. “WIO uses Wi-Fi as a velocity sensor to accurately track how far something has moved. Think of it as sonar, but using radio waves, rather than sound waves.”

Many devices, such as smartphones, incorporate technology called inertial measurement units (IMUs) to calculate how far a device has moved. However, IMUs suffer from large drift errors, meaning that even minor inaccuracies can quickly become exaggerated.

With a flourish of a silk curtain at the Farnborough Air Show on July 16, British defense secretary Gavin Williamson unveiled a full-scale model of the Tempest, the UK’s concept for a domestically built twin-engine stealth fighter to enter service in the 2030s. The Tempest will supposedly boast a laundry list of sixth-generation technologies such as being optionally-manned, mounting hypersonic or directed energy weapons, and capability to deploy and control drone swarms. However, it may also represent a Brexit-era gambit to revive defense cooperation with Germany and France.

London has seeded “Team Tempest” with £2 billion ($2.6 billion) for initial development through 2020. Major defense contractor BAE System is leading development with the Royal Air Force, with Rolls Royce contributing engines, European firm MBDA integrating weapons, and Italian company Leonardo developing sensors and avionics.

Design will supposedly be finalized in the early 2020s, with a flyable prototype planned in 2025 and production aircraft entering service in 2035, gradually replacing the RAF’s fourth-generation Typhoon fighters and complementing F-35 stealth jets. This seventeen-year development cycle is considered ambitious for something as complicated and expensive as a stealth fighter.

While the Valkyrie program develops one type of wingman drone, the broader Skyborg program is working on the hardware and software for integrating manned and unmanned fighters.

The U.S. Air Force’s future drone fighter is back in the air.

The XQ-58 Valkyrie on June 11, 2019 took off for its second test flight over Yuma, Arizona. The 29-feet-long, jet-powered drone “successfully completed all test objectives during a 71-minute flight,” the Air Force Research Laboratory announced.

That vast majority of quadcopter drones produce thrust in a very straightforward way: the propellers push air downwards at a high speed which creates lift. But that doesn’t mean other means of propulsion can’t be used. YouTuber Tom Stanton often experiments with unconventional drones and methods of propulsion, and in his newest video he has made a drone fly using the Coandă effect.

The Coandă effect, named after Romanian inventor Henri Coandă, describes the propensity for fluids — including air — to cling to convex surfaces as they move across them. That’s because a low pressure zone is created around the curved surface, and the atmospheric pressure of the surrounding air pushes the moving air along. This effect can be used to redirect the flow of air, which is how Stanton wanted to provide thrust for a drone. Instead of having propellers that push directly down on the air, he used an impeller to push air outwards horizontally. The impellers are mounted on top of domes, and the Coandă effect pulls the air downwards to provide thrust.

Continue reading “Tom Stanton Builds a Drone That Flies Using the Coandă Effect” »

Drone racing an ambulance shows how drones could speed up medical care.

The U.S. Defense Advanced Research Projects Agency (DARPA) kicked off the Subterranean Challenge in December 2017, with the goal of equipping future warfighters and first responders with tools to rapidly map, navigate, and search hazardous underground environments. The final winner of the four-event competition won’t be selected until 2021, but Team Explorer from Carnegie Mellon University and Oregon State University managed to best rivals for the initial prize.

On four occasions during the eight-day Tunnel Circuit event, which concluded today, each team deployed multiple robots into National Institute for Occupational Safety and Health research mines in South Park Township, Pennsylvania, tasked with autonomously navigating mud and water and communicating with each other and a base station for an hour at a time as they searched for objects. Team Explorer’s roughly 30 university faculty, students, and staff members leveraged two ground robots and two drones to find 25 artifacts in its two best runs (14 more than any other team), managing to identify and locate a backpack within 20 centimeters of its actual position.

“Mobility was a big advantage for us,” said team co-leader Sebastian Scherer, associate research professor in Carnegie Mellon’s Robotics Institute, in a statement. “The testing [prior to the event, at Tour-Ed Mine in Tarentum, Pennsylvania] was brutal at the end, but it paid off in the end. We were prepared for this … We had big wheels and lots of power, and autonomy that just wouldn’t quit.”

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Continue reading “Coanda Effect Drone Propulsion” »

Robots are about to go underground — for a competition anyways.

The Defense Advanced Research Projects Agency (DARPA), the branch of the U.S. Department of Defense dedicated to developing new emerging technologies, is holding a challenge intended to develop technology for first responders and the military to map, navigate, and search underground. But the technology developed for the competition could also be used in future NASA missions to caves and lava tubes on other planets.

Continue reading “NASA Robots to Compete in Underground Challenge in Mining Tunnels” »

Nevertheless, to date, most of the wealth generated by advances in A.I. and robotics has been acquired by the executives of technology companies. It’s time for the benefits of the A.I. revolution to be broadly distributed through an expanded social safety net.

Unfortunately, members of Congress are taking the opposite path and have proposed cuts to a range of social programs. Several hundred thousand people arrived in Washington on Saturday to protest these cuts. During the demonstration, masked agitators threw rocks at the autonomous drones deployed for crowd control; in response, drones dispensed pepper spray on the protesters below, causing a stampede. More than 20 people were injured and treated at local hospitals; one protester died of his injuries on Monday. The police detained 35 people at the scene; 25 more arrests have been made since then, after authorities used facial recognition technology to identify protesters from surveillance video.

Punishing the poor who were harmed by economic disruptions has been a mistake repeated throughout American history. During the Industrial Revolution, machines displaced many artisans and agricultural workers. To deter these unemployed workers from seeking public relief, local governments set up poorhouses that required residents to perform hard labor. And between 1990 and 2020, the federal government — and some state governments — repeatedly cut social program spending even as middle-class jobs disappeared as a result of outsourcing and automation. Workers who didn’t have the skills to thrive in the knowledge economy were resigned to join the underclass of service workers.