20 students of the Eindhoven University of Technology (TU/e) in the Netherlands share one vision of the future: the fully domesticated drone pet – a flying friend that helps you whenever you need it and in general, is very, very cute. Their drone “Blue Jay” is packed with sensors, has a strong claw for grabbing and carrying cargo, navigates autonomously indoors, and interacts with humans at eye level.
[Aerotenna] recently announced the first successful flight of an unmanned air vehicle (UAV) powered by a Xilinx Zynq processor running ArduPilot. The Zynq is a dual ARM processor with an onboard FPGA that can offload the processor or provide custom I/O devices. They plan to release their code to their OcPoC (Octagonal Pilot on a Chip) project, an open source initiative that partners with Dronecode, an open source UAV platform.
[Geir] has created a pretty neat device, it’s actually his second version of an autonomous boat that maps the depths of lakes and ponds. He calls it the Sea Rendering. The project is pretty serious as the hull was specially made of fiberglass. The propulsion is a simple DC motor and the rudder is powered by an RC servo. A light and flag adorn the top deck making the small craft visible to other larger boats that may be passing by. Seven batteries are responsible for all of the power requirements.
The craft’s course is pre-programmed in Mission Planner and uses ArduPilot loaded on an Arduino to steer to the defined way points. An onboard GPS module determines the position of the boat while a transducer measures the depth of the water. Both position and depth values are then saved to an SD card. Those values can later be imported into a software called Dr Depth that generates a topographic map of the water-covered floor.
[Geir] has sent this bad boy out on an 18 km journey passing through 337 way points. That’s pretty impressive! He estimates that the expected run time is 24 hours at a top speed of 3 km/h, meaning it could potentially travel 72 km on a single charge while taking 700 depth measurements during the voyage.
Is it a quadcopter? A plane? No, it’s both! [Daniel Lubrich] is at it again with a vertical take off and landing transformer he calls the SkyProwler.
The SkyProwler uses a switch blade type mechanism to move from quadcopter mode to plane mode. The wings can be detached to make it a normal quad that has all the typical bells and whistles. It can follow you around with GPS, fly autonomously via way points, and has this cool gimbal mechanism that keeps the GoPro stable as the drone pitches in flight, allowing for a better video experience.
[Dan’s] ultimate goal is a full size passenger model called the SkyCruiser, which uses the same switchblade transformation mechanism as his much smaller SkyProwler. Be sure to check out the video below if you haven’t already, and let us know of any quadcopter / plane hybrids of your own.
Controlling autonomous vehicles remotely with the use of virtual reality headsets seems like an obvious next step. Already, a few UAV companies have begun experimenting with these types of ideas by integrating Oculus Rift developer kits into their hovering quadcopters and drones. Parrot released a video on their blog showing that they developed a head-tracking system for their Bebop Drone in an effort to bring FPV flights to fruition. It looks like a lot of fun and we want to try one of these out asap!
As for technical specifications, they can be found in the YouTube description of the video embedded below. A quick glance showed that the operating system is based on Android and uses WiFi to connect the handheld tablet to the autonomous vehicle floating above. The range is a whopping 2km, giving plenty of freedom to explore. Moving one’s head swivels the attached camera giving a more immersive flying experience.
This isn’t the first example of FPV drones that we have seen. Previously, we covered an Oculus Rift + Head Tracking setup and another similar integration with a Black Armor Drone. We are bound to see virtual reality equipment used to control drones more and more as developers get their hands on cutting edge hardware like the Oculus developer kit 2 hardware which is currently shipping.
We wrote about [Chris Anderson] before when he released the Arduino based autopilot. He has since crashed his first Predator UAV, due to an underpowered motor and poor control of the v-tail only steering. He has since released a pro version of the autopilot controller, and is modifying this UAV Predator drone kit to work with it. One ATMega168 processor handles flying and the other handles GPS navigation, but because they work together, it results in a fully autonomous drone. He also has a BlimpDuino version we have covered before.