While roboticists have introduced increasingly sophisticated robotic systems over the past decades, most of the solutions introduced so far are pre-programmed and trained to tackle specific tasks. The ability to continuously teach robots new skills while interacting with them could be highly beneficial and could facilitate their widespread use.
A set of knee exoskeletons, built with commercially available knee braces and drone motors at the University of Michigan, has been shown to help counteract fatigue in lifting and carrying tasks. They helped users maintain a better lifting posture even when tired, a key factor in defending against on-the-job injuries, say the researchers of a new paper published in the journal Science Robotics.
Scientists at the Max-Planck-Institute for Intelligent Systems (MPI-IS) have developed hexagon-shaped robotic components, called modules, that can be snapped together LEGO-style into high-speed robots that can be rearranged for different capabilities.
Ensuring that robots can smoothly collaborate with humans in real-world environments is a crucial step towards their large-scale deployment. While some robotic systems are already engaging daily with human agents, for instance at partially automated industrial and manufacturing facilities, human-robot collaboration on everyday tasks remains scarce.
Many animal species, ranging from insects to amphibians and fish, use jumping as a means of moving within their surrounding environment. Jumping can be very advantageous for these animals, for instance, allowing them to reach higher branches of trees, swiftly escape from predators or move faster across long distances.
Research at Michigan State University is focused on teaching robots to use colors to perceive, visualize, and interpret interactions when manipulating objects. A force-interpreting optical system is being developed so robots can distinguish and manipulate soft and fragile objects—which will be particularly helpful for medical and other assistive robots.
From search-and-rescue missions to orthopedic therapy and many other applications, soft robots and wearable electronic devices show great promise for many fields. However, designing them to be functional and practical to use has proved challenging.
A team of roboticists at the German Aerospace Center's Institute of Robotics and Mechatronics finds that combining traditional internal force-torque sensors with machine-learning algorithms can give robots a new way to sense touch.
Cornell University researchers have created microscale robots less than 1 millimeter in size that are printed as a 2D hexagonal "metasheet," but with a jolt of electricity, morph into preprogrammed 3D shapes and crawl.
Researchers at Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology at the University of Nottingham have developed ultra-thin soft robots, designed for exploring narrow spaces in challenging built environments. The research is published in the journal Nature Communications.
Researchers from the University of Hertfordshire have developed a new algorithm that will allow robots to function more intuitively—that is, make decisions using their environment for guidance.
Inventors and researchers have been developing robots for almost 70 years. To date, all the machines they have built—whether for factories or elsewhere—have had one thing in common: They are powered by motors, a technology that is already 200 years old. Even walking robots feature arms and legs that are powered by motors, not by muscles as in humans and animals. This in part suggests why they lack the mobility and adaptability of living creatures.
Honesty is the best policy… most of the time. Social norms help humans understand when we need to tell the truth and when we shouldn't, to spare someone's feelings or avoid harm. But how do these norms apply to robots, which are increasingly working with humans? To understand whether humans can accept robots telling lies, scientists asked almost 500 participants to rate and justify different types of robot deception.
A new study has found that U.K. hotels and restaurants using humanlike service robots can make solo guests feel more comfortable in engaging with these robots by providing comfortable ambient conditions—including lighting, scents and sounds—and adding local cues like British flag designs on the robot's body.
Children giggle as young people flash their smartphones to film robots carrying plates of freshly prepared meals on their inbuilt trays to deliver to diners in a busy eatery in Kenya's capital.