As the new robot called Sprout walks around a Manhattan office, nodding its rectangular head, lifting its windshield wiper-like "eyebrows" and offering to shake your hand with its grippers, it looks nothing like the sleek and intimidating humanoids built by companies like Tesla.
Researchers are continuing to make progress on developing a new synthetic material that behaves like biological muscle, an advancement that could provide a path to soft robotics, prosthetic devices and advanced human-machine interfaces. Their research, recently published in Advanced Functional Materials, demonstrates a hydrogel-based actuator system that combines movement, control and fuel delivery in a single integrated platform.
Last year, when The New York Times reported that Amazon's robotics team's ultimate goal was to automate 75% of the company's operations, replacing more than half a million human jobs in an attempt to pass cost savings onto customers, it was a stark reminder of robots' ever-expanding role in reshaping the American workplace.
Collaborative robots, or cobots, are required to maintain compliant interaction while delivering rapid response performance when subjected to sudden, strong forces, such as during impact riveting, resistance spot welding, or precision shaft-hole assembly. This makes low-damping, high-stiffness impedance control critical for the reliable execution of these tasks.
A research team from the Visual Perception and Cognition Laboratory and the Cognitive Neurotechnology Unit at Toyohashi University of Technology investigated how the movements of autonomous mobile robots influence human emotional responses during passing encounters in virtual reality (VR) environments.
Humanoid robots look impressive and have enormous potential to change our daily lives, but they still have a reputation for being clunky. They're also heavy and stiff, and if they fall, they can easily break and injure people around them.
Nature is, of course, the master engineer—been there, seen it, solved it. While we struggle to design buildings that don't overheat or feel like concrete cages, nature has been perfecting comfortable living structures for ages. Now scientists are borrowing from the natural world again; this time, to build a swarm of interconnected mini-robots that could lead to buildings with dynamic facades that respond to sunlight and the people inside.
McGill University engineers have developed new ultra-thin materials that can be programmed to move, fold and reshape themselves, much like animated origami. They open the door to softer, safer and more adaptable robots that could be used in medical tools that gently move inside the body, wearable devices that change shape on the skin or smart packaging that reacts to its environment.
Elon Musk sees his humanoid robots hitting the market next year, one of several "optimistic" forecasts by the US tech mogul at his first-ever Davos appearance on Thursday.
Like something out of the Addams Family, scientists have created a detachable robotic hand that can crawl and grab objects. The design enables tasks such as retrieving objects beyond normal reach and performing multi-object handling, offering potential applications in industrial, service, and exploratory robotics.
By rethinking how thin metal threads are woven into a flexible textile, EPFL researchers have created a lightweight fabric capable of lifting over 400 times its own weight. The work advances the development of wearables that provide physical assistance without mechanical bulk.
To reliably complete household chores, assemble products and tackle other manual tasks, robots should be able to adapt their manipulation strategies based on the objects they are working with, similarly to how humans leverage information they gain via the sense of touch. While humans attain tactile information via nerves in their skin and muscles, robots rely on sensors, devices that sense their surroundings and pick up specific physical signals.
The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that can reliably tackle various everyday tasks. Training and evaluating these algorithms, however, typically requires extensive efforts, as humans still need to manually label training data and assess the performance of models in both simulations and real-world experiments.
Almost half of our attention during face-to-face conversation focuses on lip motion. Yet, robots still struggle to move their lips correctly. Even the most advanced humanoids make little more than muppet mouth gestures—if they have a face at all.
Underwater robots face many challenges before they can truly master the deep, such as stability in choppy currents. A new paper published in the journal npj Robotics provides a comprehensive update of where the technology stands today, including significant progress inspired by the movement of rays.