Tech Xplore · Robotics · 实时热榜

Engineers at Queen Mary University of London have built a new color-changing tactile sensor, which allows robots to "see" and touch in real-time. The novel idea was invented by Giacomo Sasso, a postdoctoral researcher at the School of Engineering and Materials Science at Queen Mary University of London, and it works by transforming invisible forces into dynamic color patterns. This enables high-resolution maps of contact, strain and pressure to emerge instantly.

In a squat building on a drab business park just outside Rotterdam, sleek white humanoid robots scuttle around, accompanied by a gray robotic dog performing various canine tricks.

Imagine you're running and you sprain your ankle. The pain makes you gingerly limp the rest of the way home. This is a great example of how nature adapts to failures in a system. The pain tells you: "If you continue running like normal, the injury will only get worse." So you naturally adjust the way you run. Drones currently cannot do this with a worn-out propeller.

Soft grippers, which are built from flexible materials that can bend and deform, are attracting a lot of attention from robotics researchers worldwide. Unlike conventional robots made from rigid metal or plastic, soft grippers can grasp items more gently while naturally adapting to different shapes. This makes them uniquely suitable for delicate tasks such as handling fruit, baked goods, lab samples and medical supplies.

Recent technological advances have opened valuable possibilities for supporting people with motor impairments or who are recovering from injuries to the brain, spinal cord or nerves. Millions of people worldwide currently experience difficulty moving their hands or other parts of their body. Some of these motor impairments are associated with progressive neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS), while others are the result of neurological damage caused by an injury

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today, there are two main ways to program these walking, or legged, robots. The first is called model predictive control. This technique optimizes the robot's behavior but relies on accurate dynamics models, which are challenging to achieve in real-world settings and often require simplifying assumptions. The second is model-free reinforcement learning, which allows the robot t

Loons, gulls, puffins and petrels are some of the 100 species of birds that can both fly and swim. These diving birds can plunge into water to swim after prey, and leap back into the air to fly away.

Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site. Their new system, called "FloatForm," is a swarm of small square robotic boats that assemble themselves into larger structures on the water, break apart and reassemble into something new, all with minimal human direction.

Built from flexible, compliant materials, soft robots are gaining relevance for tasks ranging from minimally invasive surgery to deep-sea exploration but remain held back by a fundamental constraint. To sense their surroundings and react, most soft robots rely on separate electronic sensors, signal-processing circuits and powered actuators, all coordinated by computers. This chain of components adds weight, complexity and points of failure, particularly in wet, hot or high-pressure settings wher

Robotics researchers often spend weeks, or even months, simply getting a new robot up and running before they can begin testing new behaviors. Researchers in the Carnegie Mellon University School of Computer Science have developed an open-source software framework designed to eliminate much of that setup work, making it easier to deploy AI systems across different robots without rebuilding software from scratch.

As technology advances, more is expected from humanoid robots. What were once seen as gimmicks that could walk, if not like us, then close to it, are now pulling their weight and doing more work in places like factories. They are being developed for real work, such as carrying heavy boxes, pushing furniture, pulling heavy objects and wiping tables.

When South Korea's professional baseball league introduced "robot umpire" ball-and-strike calls in 2024, famous batters appeared to lose an edge—but star pitchers did not.

Robots walking down the street, surrounded by astounded onlookers, are an increasingly common sight. But these machines aren't yet the do-it-all assistants you'd want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it's labor-intensive and time-consuming to physically teach these machines so many actions across different settings.

Japanese communications company Fujitsu is leading a major push in artificial intelligence using Nvidia's technology, bringing together what it said was the best in Japan's manufacturing prowess in robotics with AI.

An era in which robots decide "how to walk" on their own has arrived. A four-legged robot has been developed that, much like a person or an animal, autonomously chooses the appropriate gait strategy for its surroundings—changing its gait on stairs, leaping over gaps and keeping its balance on forest trails.

For robots to be used in various settings, such as factories, logistics, service industries and households, they must be able to stably handle a diverse range of objects differing in shape, size, weight and rigidity. However, conventional robotic hands often require multiple motors and complex control systems, presenting challenges in terms of weight, cost, failure risk and control difficulties.

From the Ferranti Mark I to empathetic AI, Manchester researchers are exploring how intelligent machines can understand human behavior, respond to social cues and earn trust in our workplaces, hospitals and homes.

When a robot offers you candy, it is hard not to be curious. In an experiment conducted by ethologists at ELTE, visitors at public events noticed an autonomous service robot more often than a human server, and the candy on the robot's tray disappeared faster. The study also suggests that the presence of robots may influence the way people behave in social situations.

Rescue teams in coastal cities and towns often need to rescue people who are at risk of drowning. These operations often require emergency teams to locate and reach people in distress as quickly as possible, as even a short delay could have serious or even fatal consequences.

Professor Sukho Song of the Department of Robotics and Mechatronics Engineering at DGIST has proposed "Sustainability Robotics," a new academic field that evaluates robots not only in terms of their technical performance but also their contributions to environmental, social and economic sustainability.

University of Minnesota Twin Cities researchers have developed a first-of-its-kind AI system that allows underwater companion robots to monitor a diver's health in real time simply by "watching" their exhaled bubbles.

A new method developed by MIT researchers makes robots better at thinking ahead while they are acting, leading to smoother motions and quicker reactions. The research is published on the arXiv preprint server.

The U.S. Federal Communications Commission is banning imports of new foreign-made humanoid robots and power inverters, citing national security risks, in a move that targets China. Beijing quickly accused the U.S. of protectionism.

About 20 years ago, Yiannis Levendis, a professor of mechanical and industrial engineering at Northeastern University, was working on an experiment to find an alternative to coal—grinding up old car and truck tires and burning the crumbs.

University of Queensland researchers have developed new noninvasive sensors that measure muscle forces, unlocking new possibilities for wearable robotic mobility devices. Ultra-wideband radar sensors measure electromagnetic changes in muscles as they contract, allowing researchers to collect data in a way that's never been done before.

Legged robots have recently transitioned from science fiction to engineering fact, with modern humanoid and quadrupedal machines now capable of delivering packages to front doors and taking on dangerous military missions. With a massive surge in financial investment in the offing, a new study describes the technical advances that have made legged robots a reality and explores the critical ethical considerations, economic potential and policy implications of the "intelligent machines" that are in

Quadruped robots, which walk on four legs, are increasingly used for tasks such as inspection, transportation and search-and-rescue operations. However, their repeated leg movements consume far more energy than the rolling motion of wheeled robots, making it challenging to improve energy efficiency.

In horror movies, music is a dead giveaway. Tension builds with each note, and you brace for the inevitable jump scare. The same sense of anticipation has taken a leading role in an unlikely venue: a Georgia Tech robotics lab.

Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform as well in dynamic and unpredictable real-world environments as they do during controlled laboratory tests.

Flapping-wing micro aerial vehicles (FW-MAVs) are small, lightweight robots inspired by the flight mechanisms of birds and insects. By using rapidly moving wings instead of propellers, these robots can achieve unique flight capabilities, such as hovering like hummingbirds and independently controlling their wings like dragonflies.

The researchers teach the packaging machine what is up and down on a snack carrot. The program runs on a small, local PC—not on huge servers in some faraway cloud. The goal: to pack quickly, cheaply and attractively—so that consumers like us are tempted by locally sourced, healthy snacks.

Their metallic frames covered in supple, lifelike skin, a posse of new Chinese robots meant for companionship can offer users AI-generated conversation or a hand to hold, complete with manicured nails.

When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.