Wireless Charging For Border Patrol Drones

It makes sense to use drones to patrol borders or perimeters. But there’s a problem. Drones have to carry batteries or fuel and mostly have a short operating time. A new paper from the University of Houston proposes a solution by recharging drones in flight using a novel wireless charging mechanism. What’s the cost? Another paper explores the economics of the approach.

The system relies on electric lines running along a border wall feeding wireless power transfer devices that allow the drone to recharge in flight. This is akin, we think, to an electric train that takes power from the third rail except, in this case, the power rail is wireless. Also, the drone would still have batteries to enable it to go off the rail as needed.

The paper mentions that the source power could be from wind or solar, but that’s not necessarily important and it also requires a storage battery in the system that you could omit if using conventional power. In addition, you’d think batteries and solar panels might be targets for theft in remote areas.

The paper mentions that another alternative is to simply have charging towers along the wall where drones land to recharge. This is easier, we think, but it does put the drone out of full operation status while charging. On the other hand, cheap drones could work in shifts to cover an area, so it seems like that might be a better solution than charging while flying.

What do you think? How would you make a long-duration drone? Fuel cells? In-flight battery swapping from a refueling drone? Laser power? Maybe a magnetic battery swap system where the drone swoops over a charger to drop off and pick up a fresh battery? Let us know what you would try or — even better — what you have done.

We’ve seen a drone pit stop robot already. Refueling drones have been done, too. But it does seem like something better is possible.

An RF remote control with a LoRa receiver next to it

Reverse Engineering A 900 MHz RC Transmitter And Receiver

For those building their own remote controlled devices like RC boats and quadcopter drones, having a good transmitter-receiver setup is a significant factor in the eventual usability of their build. Many transmitters are available in the 2.4 GHz band, but some operate at different frequencies, like the 868/915 MHz band. The TBS Crossfire is one such transmitter, and it’s become a popular model thanks to its long-range performance.

The channel hopping sequence of a TBS Crossfire transmitter
The channel hopping sequence

When [g3gg0] bought a Crossfire set for his drone, he discovered that the receiver module consisted of not much more than a PIC32 microcontroller and an SX1272 LoRa modem. This led him to ponder if the RF protocol would be easy to decode. As it turns out, it was not trivial, but not impossible either. First, he built his own SPI sniffer using a CYC1000 FPGA board to reveal the exact register settings that the PIC32 sent to the SX1272. The Crossfire uses channel hopping, and by simply looking at the register settings it was easy to figure out the hopping sequence.

Once that was out of the way, the next step was to figure out what data was flowing through those channels. The data packets appeared to be built up in a straightforward way, but they included an unknown CRC checksum. Luckily, brute-forcing it was not hard; the checksum is most likely used to keep receivers from picking up signals that come from a different transmitter than their own.

[g3gg0]’s blog post goes into intricate detail on both the Crossfire’s protocol as well as the reverse engineering process needed to obtain this information. The eventual conclusion is that while the protocol is efficient and robust, it provides no security against eavesdropping or deliberate interference. Of course, that’s perfectly fine for most RC applications, as long as the user is aware of this fact.

If you’re into decoding RF protocols, you might also want to try using a logic analyzer. But if you merely want to replicate an existing transmitter’s signals, it might be easier to simply spoof a few button presses.

Continue reading “Reverse Engineering A 900 MHz RC Transmitter And Receiver”

Underwater Drone Films, Is In Film

Having a drone that can follow you running or biking with a camera isn’t big news these days. But French firm Notilo Plus has an underwater drone that can follow and video an underwater diver. The Seasam has been around since 2019, but recently made an appearance in a French film, The Deep House about a couple exploring an underwater haunted house, as reported by New Atlas. You can see a video about the drone — and a trailer for the movie — in the videos below.

To follow a diver, the robot uses an acoustic signal from the user’s control unit to find the approximate location of the user. This works even in dark conditions. Once close enough, computer vision zeros in on the diver while a sonar system allows safe navigation.

Continue reading “Underwater Drone Films, Is In Film”

Flying Sausage Rescues Pooch, Drone Pilots Save The Day

When we write about drone stories from the United Kingdom, they often have a slightly depressing air to them as we relate tales of unverified air proximity reports closing airports or bungled official investigations that would make the Keystone Kops look like competent professionals.

But here’s a drone story from this rainswept isle sure to put a smile on the face of multirotor enthusiasts worldwide, as Denmead Drone Search And Rescue, an organisation who locate missing pets using drones, enticed lost dog Millie from a soon-to-be-engulfed tidal mudflat by the simple expedient of dangling a sausage from a drone for the mutt to follow (Facebook).

Lest you believe that Hackaday have lost their marbles and this isn’t worthy of our normal high standards, let us remind you that this is not our first flying sausage story. Behind the cute-puppy and flying meat product jokes though, there’s a serious side. Drones have received such a bad press over recent years that a good news story concerning them is rare indeed, and this one has garnered significant coverage in the general media. Maybe it’s too late to reverse some of the reputational damage from the Gatwick fiasco, but at this point any such coverage is good news.

For anyone wondering what lies behind this, let us take you back to Christmas 2018.

Inverted Pendulum Balanced On A Drone

[Nicholas Rehm] works during the day at the Applied Physics Laboratory at Johns Hopkins, Maryland, so has considerable experience with a variety of UAV applications. The question arose about how the perseverance mars rover landing worked, which prompted [Nicholas] to hang a rock under his drone, attached via a winch. This proved to be interesting. But what is more interesting for us, is what happens when you try to attach an inverted pendulum to the top of a drone in flight? (video embedded, below)

This is a classic control theory problem, where you need to measure the angle of the pendulum with respect to the base, and close the loop by calculating the necessary acceleration from the pendulum angle. Typically this is demonstrated in one dimension only, but it is only a little more complicated to balance a pendulum with two degrees of freedom.

[Nicholas] first tried to derive the pendulum angle by simply removing the centering springs from an analog joystick, and using it to attach the pendulum rod to the drone body. As is quite obvious, this has a big drawback. The pendulum angle from vertical is now the sum of the joystick angle and the drone angle, which with the associated measurement errors, proved to be an unusable setup. Not to be discouraged, [Nicholas] simply added another IMU board to the bottom of the pendulum, and kept the joystick mechanism as a pivot only. And, as you can see from the video after the break, this indeed worked.

The flight controller is [Nicholas’] own project, dRehmFlight (GitHub), which is an Arduino library intended for the Teensy 4.0, using the ubiquitous MPU6050 6-DOF IMU. [Nicholas] also made an intro video for the controller, which may prove instructive for those wishing to go down this road to build their own VTOL aircraft. The code for pendulum experiment is not available at the time of writing, perhaps it will hit the GitHub in the future?

Continue reading “Inverted Pendulum Balanced On A Drone”

When Benchies Fly

Most of us have printed a few benchies to test our 3D printers. The intrepid little boat has a variety of features that tax different parts of the printing process. However, the guys at [FliteTest] had a different idea. They set out in a competition to build a giant flying benchie. They aren’t quite done, but they did make some interesting progress, as you can see in the video below.

In all fairness, the benchies are not, themselves, 3D printed. Foamboard, however, is a bit more practical.  Inevitably, you can’t help but think of a flying boat when you see the results.

Continue reading “When Benchies Fly”

LEONARDO, a hybrid drone and bipedal robot

LEONARDO: The Hopping, Flying Bipedal Robot

We appear to have a new entry atop the “Robots That Creep Us Out” leader board: meet LEONARDO, the combination quadcopter/bipedal robot.

LEONARDO, a somewhat tortured name derived from “LEgs ONboARD drOne,” is actually just what it appears to be: a quadcopter with a set of legs. It comes to us from Caltech’s Center for Autonomous Systems and Technologies, and the video below makes it easy to see what kind of advantages a kinematic mash-up like this would offer. LEO combines walking and flying to achieve a kind of locomotion that looks completely alien, kind of a bouncy, tip-toeing step that really looks like someone just learning how to walk in high heels. The upper drone aspect of LEO provides a lot of the stabilization needed for walking; the thrust from the rotors is where that bouncy compliance comes from. But the rotors can also instantly ramp up the thrust so LEO can fly over obstacles, like stairs. It’s also pretty good at slacklining and skateboarding, too.

It’s easy to see how LEO’s multimodal locomotion system solves — or more accurately, avoids — a number of the problems real-world bipedal robots are going to experience. For now, LEO is pretty small — only about 30″ (76 cm) tall. And it’s rather lightly constructed, as one would expect for something that needs to fly occasionally. But it’s easy to see how something like this could be scaled up, at least to a point. And LEO’s stabilization system might be just what its drunk-walking cousin needs.

Continue reading “LEONARDO: The Hopping, Flying Bipedal Robot”