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EPFL startup Flybotix has developed a novel drone with just two propellers and an advanced stabilization system that allow it to fly for twice as long as conventional models.

A team of EPFL researchers has developed tiny 10-gram robots that are inspired by ants: they can communicate with each other, assign roles among themselves and complete complex tasks together. These reconfigurable robots are simple in structure, yet they can jump and crawl to explore uneven surfaces.

Through an imaginative experiment, researchers were able to get two extremely different animal species located far apart to interact with each other and reach a shared decision with the help of robots. Bees and fish don't often have the occasion to meet, nor would they have much to say to each other if they did.

Scientists at EPFL and ETH Zurich have developed tiny elastic robots that can change shape depending on their surroundings. Modeled after bacteria and fully biocompatible, these robots optimize their movements so as to get to hard-to-reach areas of the human body. They stand to revolutionize targeted drug delivery.

A research team from the University of Zurich and EPFL have developed a new drone that can retract its propeller arms in flight and make itself small to fit through narrow gaps and holes. This is particularly useful when searching for victims of natural disasters. Inspecting a damaged building after an earthquake or during a fire is exactly the kind of job that human rescuers would like drones to do for them.

Researchers from EPFL and Stanford have developed small drones that can land and then move objects that are 40 times their weight, with the help of powerful winches, gecko adhesives and microspines. A closed door is just one of many obstacles that no longer pose a barrier to the small flying robots developed jointly by Stanford University and Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland.

A new neural recording technique developed by EPFL bioengineers enables for the first time the comprehensive measurement of neural circuits that control limb movement. Tested on the fruit fly, results from the technique may inspire the development of more sophisticated robotic control approaches. One of the major goals of biology, medicine, and robotics is to understand how limbs are controlled by circuits of neurons working together.

EPFL researchers have developed floating, solar-powered robots to help protect Chile's water reservoirs. These low-cost robots can be assembled together in a variety of ways on the water surface to prevent the water from evaporating - thereby preserving a precious resource in this arid country and one that's crucial to its biggest industry: winemaking.

New avatar-based software developed at EPFL looks at how people walk in order to predict their energy expenditure. The software, originally intended for roboticists and for researchers who develop prosthetics and exoskeletons, could have many uses in both medicine and sports. It can be tested online through a downloadable app.

An origami-like drone developed at EPFL is flexible enough to absorb shocks without breaking before returning to its initial shape. This new type of drone, which was inspired by insect wings, draws on the advantages of both stiff and flexible structures. In recent years, robotics experts have taken a page from the traditional Japanese practice of origami and come up with light and flexible - and highly innovative - robots and drones.

Your torso is more intuitive - and more precise - than joysticks for piloting drones, both simulated and real, according to a recent study by EPFL scientists. Work is already underway to implement this new body-machine-interface technology for search and rescue with drones. Imagine piloting a drone using the movements of your torso only and leaving your head free to look around, much like a bird.

Researchers have developed a new technique for carving materials to create micromechanical systems. In particular, they have created a miniscule watch component out of synthetic single-crystal diamond. Diamond is very hard and elastic, a very good thermal conductor and highly transparent, which makes it ideal for many mechanical and optical applications.

EPFL scientists have found a fast and simple way to make super-elastic, multi-material, high-performance fibers. Their fibers have already been used as sensors on robotic fingers and in clothing. This breakthrough method opens the door to new kinds of smart textiles and medical implants. It's a whole new way of thinking about sensors.

Researchers from ETH Zurich are using a new method for digital timber construction in a real-world project for the first time.

Researchers from ETH Zurich are using a new method for digital timber construction in a real-world project for the first time. The load-bearing timber modules, which are prefabricated by robots, will be assembled in the "DFAB HOUSE" unit at Empa and Eawag's NEST research and innovation building, thus combining architecture with robotics and craftsmanship.

All today's commercial drones use GPS, which works fine above building roofs and in high altitudes. But what, when the drones have to navigate autonomously at low altitude among tall buildings or in the dense, unstructured city streets with cars, cyclists or pedestrians suddenly crossing their way?

A new miniature robot developed by EPFL researchers can swim with fish, learn how they communicate with each other and make them change direction or come together. These capabilities have been proven on schools of zebrafish. Researchers at EPFL's Robotic Systems Laboratory (LSRO), which is headed by Professor Francesco Mondada, have developed a miniature robot that can integrate perfectly into schools of zebrafish.

A new drone developed at EPFL uses cutting-edge technology to deliver parcels weighing up to 500 grams.

EPFL scientists have created the first functional robot powered entirely by vacuum: made up of soft building blocks, it moves by having air sucked out of them.

Filming of spectacular action scenes is expensive and the creative possibilities are often limited. An ETH doctoral student has developed an algorithm that allows drones to implement the desired picture compositions independently.