news 2020

Researchers at ETH Zurich have developed a technique for manufacturing micrometre-long machines by interlocking multiple materials in a complex way. Such microrobots will one day revolutionise the field of medicine. Robots so tiny that they can manoeuvre through our blood vessels and deliver medications to certain points in the body - researchers have been pursuing this goal for years.

Methods used to help robots walk and autonomous cars drive can also help epidemiologists predict the spread of the pandemic When the COVID-19 pandemic lockdowns brought an abrupt halt to their research this spring, robotics engineers at Caltech and the University of Michigan took tools that were originally created to help robots to walk and autonomous cars to drive safely and applied them to the development of an epidemiological methodology that accounts for human interventions (like mask mandates and stay-at-home orders).

In order for robots to be able to achieve more than simple automated machines in the future, they must not only have their own "brain". Empa researchers postulate that artificial intelligence must be expanded to include the capabilities of a Physical Artificial Intelligence, PAI. This will redefine the field of robotics and the relationship between man and machine.

A team of researchers from Empa and Imperial College London developed drones that can attach sensors to trees to monitor environmental and ecological changes in forests. Sensors for forest monitoring are already used to track changes in temperature, humidity and light, as well as the movements of animals and insects through their habitats.

Specially-adapted drones developed by an international team including Bristol scientists have been gathering data from never-before-explored volcanoes that will enable local communities to better forecast future eruptions. The cutting-edge research at Manam volcano in Papua New Guinea is also improving scientists' understanding of how volcanoes contribute to the global carbon cycle, key to sustaining life on Earth.

To fly autonomously, drones need to understand what they perceive in the environment and make decisions based on that information. A novel method developed by Carnegie Mellon University researchers allows drones to learn perception and action separately. The two-stage approach overcomes the "simulation-to-reality gap," and creates a way to safely deploy drones trained entirely on simulated data into real-world course navigation.

Like biological fat reserves store energy in animals, a new rechargeable zinc battery integrates into the structure of a robot to provide much more energy, a team led by the University of Michigan has shown. This approach to increasing capacity will be particularly important as robots shrink to the microscale and below-scales at which current stand-alone batteries are too big and inefficient.

Carnegie Mellon builds dataset capturing interaction of sound, action, vision People rarely use just one sense to understand the world, but robots usually only rely on vision and, increasingly, touch. Carnegie Mellon University researchers find that robot perception could improve markedly by adding another sense: hearing.

In the movie "Ant-Man,” the title character can shrink in size and travel by soaring on the back of an insect. Now researchers at the University of Washington have developed a tiny wireless steerable camera that can also ride aboard an insect, giving everyone a chance to see an Ant-Man view of the world.

Medicated chewing gum has been recognised as a new advanced drug delivery method but currently there is no gold standard for testing drug release from chewing gum in vitro. New research has shown a chewing robot with built-in humanoid jaws could provide opportunities for pharmaceutical companies to develop medicated chewing gum.

A navigation algorithm developed at the University of Zurich enables drones to learn challenging acrobatic maneuvers. Autonomous quadcopters can be trained using simulations to increase their speed, agility and efficiency, which benefits conventional search and rescue operations. Since the dawn of flight, pilots have used acrobatic maneuvers to test the limits of their airplanes.

This is part 1 of a three-part series examining the effects of robots and automation on employment, based on new research from economist and Institute Professor Daron Acemoglu. In many parts of the U.S., robots have been replacing workers over the last few decades. But to what extent, really? Some technologists have forecast that automation will lead to a future without work, while other observers have been more skeptical about such scenarios.

Pandemic response requires "dull, dirty, dangerous" jobs suited for robots Robots could perform some of the "dull, dirty and dangerous" jobs associated with combating the COVID-19 pandemic, but that would require many new capabilities not currently being funded or developed, an editorial Robotics argues.

Using a novel type of cameras, researchers from the University of Zurich have demonstrated a flying robot that can detect and avoid fast-moving objects. A step towards drones that can fly faster in harsh environments, accomplishing more in less time. Drones can do many things, but avoiding obstacles is not their strongest suit yet - especially when they move quickly.

With the help of machine learning, ETH researchers have developed a novel yet low-cost tactile sensor. The sensor measures force distribution at high resolution and with great accuracy, enabling robot arms to grasp sensitive or fragile objects. We humans have no problem picking up fragile or slippery objects with our hands.

Psychologists study relationships between humans and machines A world without robots is now almost inconceivable. Not only do they take on important tasks in production processes, they are also increasingly being used in the service sector. For example, machines created to resemble humans - known as androids - are helping to care for elderly people.

Three people and a robot form a team playing a game. The robot makes a mistake, costing the team a round. Like any good teammate, it acknowledges the error. " Sorry, guys, I made the mistake this round," it says. "I know it may be hard to believe, but robots make mistakes too." This scenario occurred multiple times during a Yale-led study of robots' effects on human-to-human interactions.

By observing humans, robots learn to perform complex tasks, such as setting a table. Roboticists are developing automated robots that can learn new tasks solely by observing humans. At home, you might someday show a domestic robot how to do routine chores. In the workplace, you could train robots like new employees, showing them how to perform many duties.

Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment. For the first time, MIT researchers have enabled a soft robotic arm to understand its configuration in 3D space, by leveraging only motion and position data from its own "sensorized" skin.