The autonomous formation flight of fixed-wing drones is hard when the coordination requires the actuation over their speeds since they are critically bounded and aircraft are mostly designed to fly at a nominal airspeed. This paper proposes an algorithm to achieve formation flights of fixed-wing drones without requiring any actuation over their speed. In particular, we guide all the drones to travel over specific paths, e.g., parallel straight lines, and we superpose an oscillatory behavior onto the guiding vector field that drives the drones to the paths. This oscillation enables control over the average velocity along the path, thereby facilitating inter-drone coordination. Each drone adjusts its oscillation amplitude distributively in a closed-loop manner by communicating with neighboring agents in an undirected and connected graph. A novel consensus algorithm is introduced, leveraging a non-negative, asymmetric saturation function. This unconventional saturation is justified since negative amplitudes do not make drones travel backward or have a negative velocity along the path. Rigorous theoretical analysis of the algorithm is complemented by validation through numerical simulations and a real-world formation flight.

Inverse kinematics is a fundamental technique for motion and positioning control in robotics, typically applied to end-effectors. In this paper, we extend the concept of inverse kinematics to guiding vector fields for path following in autonomous mobile robots. The desired path is defined by its implicit equation, i.e., by a collection of points belonging to one or more zero-level sets. These level sets serve as a reference to construct an error signal that drives the guiding vector field toward the desired path, enabling the robot to converge and travel along the path by following such a vector field. We start with the formal exposition on how inverse kinematics can be applied to guiding vector fields for single-integrator robots in an m-dimensional Euclidean space. Then, we leverage inverse kinematics to ensure that the level-set error signal behaves as a linear system, facilitating control over the robot's transient motion toward the desired path and allowing for the injection of feed-forward signals to induce precise motion behavior along the path. We then propose solutions to the theoretical and practical challenges of applying this technique to unicycles with constant speeds to follow 2D paths with precise transient control. We finish by validating the predicted theoretical results through real flights with fixed-wing drones.

Drones have shown to be useful aerial vehicles for unmanned transport missions such as food and medical supply delivery. This can be leveraged to deliver life-saving nutrition and medicine for people in emergency situations. However, commercial drones can generally only carry 10 % - 30 % of their own mass as payload, which limits the amount of food delivery in a single flight. One novel solution to noticeably increase the food-carrying ratio of a drone, is recreating some structures of a drone, such as the wings, with edible materials. We thus propose a drone, which is no longer only a food transporting aircraft, but itself is partially edible, increasing its food-carrying mass ratio to 50 %, owing to its edible wings. Furthermore, should the edible drone be left behind in the environment after performing its task in an emergency situation, it will be more biodegradable than its non-edible counterpart, leaving less waste in the environment. Here we describe the choice of materials and scalable design of edible wings, and validate the method in a flight-capable prototype that can provide 300 kcal and carry a payload of 80 g of water.

It takes a lot of practice to fly a drone with confidence. Whether it's a multirotor or a fixed-wing drone, there are a lot of complicated things going on all at once, and most of the control systems are not even a little bit intuitive. The first-person viewpoint afforded by drone-mounted cameras and VR headsets helps, but you're still stuck with trying to use a couple of movable sticks to manage a flying robot, which takes both experience and concentration. EPFL has developed a much better system for drone control, taking away the sticks and replacing them with intuitive and comfortable movements of your entire body. It's an upper-body soft exoskeleton called FlyJacket, and with it on, you can pilot a fixed-wing drone by embodying the drone--put your arms out like wings, and pitching or rolling your body will cause the drone to pitch or roll, all while you experience it directly in immersive virtual reality.

According to an article published two days ago in the Chinese military's official journal, a team of researchers from the Chinese military university National University of Defense Technology (NUDT) successfully tested, in early December, a swarm of " several tens of fixed-wing drones. The text has given little detail – it is only learned that the test had the objective of evaluating autonomous flight technologies in training, and the ability of the swarm to conduct a reconnaissance mission to the above a certain area. The project and development work is led by Professor SHEN Lin Cheng (沈 林 成), PhD supervisor and Chair of the NUDT Institute of Artificial Intelligence Sciences. "The team has been working for nine months on the preparation of this swarm test, sometimes we have to do a hundred test flights a day," says the former director of the institute of electro-mechanical engineering and automation, "We have precise short, medium and long term objectives, which are consistent with those set by the government on the modernization of the Chinese armed forces by 2020, 2035 and 2050." Despite "rudimentary" testing site conditions, the NUDT research team of an average age of 30 years has achieved a breakthrough in the areas of parallel perception, behavioral intention prediction, and Autonomous flight control focused on the handling of random incidents, says the People's Liberation Army Daily article.

It wouldn't be CES without a new drone from Parrot. Not that we're complaining: Parrot makes awesome drones. You can probably guess what's new about the Disco, though: a pronounced lack of rotors and the addition of a symmetrical pair of passive lifting surfaces. In other words, it's got wings. As soon as we saw this thing, we were like, "Oh, that looks familiar!"