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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.

Researchers at EPFL have developed an ultra-light robotic insect that uses its soft artificial muscles to move at 3 cm per second across different types of terrain. It can be folded or crushed and yet continue to move. Imagine swarms of robotic insects moving around us as they perform various tasks.

Robots, self-driving cars and other intelligent machines could become better-behaved thanks to a new way to help machine learning designers build AI applications with safeguards against specific, undesirable outcomes such as racial and gender bias. Artificial intelligence has moved into the commercial mainstream thanks to the growing prowess of machine learning algorithms that enable computers to train themselves to do things like drive cars, control robots or automate decision-making.

Trash talking has a long and colorful history of flustering game opponents, and now researchers at Carnegie Mellon University have demonstrated that discouraging words can be perturbing even when uttered by a robot. The trash talk in the study was decidedly mild, with utterances such as "I have to say you are a terrible player," and "Over the course of the game your playing has become confused." Even so, people who played a game with the robot - a commercially available humanoid robot known as Pepper - performed worse when the robot discouraged them and better when the robot encouraged them.

Walking on Caltech's campus, research engineer Chris Roh (MS '13, PhD '17) happened to see a bee stuck in the water of Millikan Pond. Although it was a common-enough sight, it led Roh and his advisor, Mory Gharib (PhD '83), to a discovery about the potentially unique way that bees navigate the interface between water and air.

Researchers at the Paul Scherrer Institute PSI and ETH Zurich have developed a micromachine that can perform different actions. First nanomagnets in the components of the microrobots are magnetically programmed and then the various movements are controlled by magnetic fields. Such machines, which are only a few tens of micrometres across, could be used, for example, in the human body to perform small operations.

In a new twist on human-robot research, computer scientists at the University of Bristol have developed a handheld robot that first predicts then frustrates users by rebelling against their plans, thereby demonstrating an understanding of human intention. In an increasingly technological world, cooperation between humans and machines is an essential aspect of automation.

EPFL scientists have developed a deep-learning based motion-capture software that uses multiple camera views to model the movements of a fly in three dimensions. The ultimate aim is to use this knowledge to design fly-like robots. "Just think about what a fly can do," says Professor Pavan Ramdya, whose lab at EPFL's Brain Mind Institute , with the lab of Professor Pascal Fua at EPFL's Institute for Computer Science, led the study.

Sensitive synthetic skin enables robots to sense their own bodies and surroundings - a crucial capability if they are to be in close contact with people. Inspired by human skin, a team at the Technical University of Munich (TUM) has developed a system combining artificial skin with control algorithms and used it to create the first autonomous humanoid robot with full-body artificial skin.