A research team at Kumamoto University (Japan) has unveiled a new mathematical framework that makes it possible to accurately model systems using multiple sensors that operate at different sensing rates. This breakthrough could pave the way for safer autonomous vehicles, smarter robots, and more reliable sensor networks.
Our muscles are nature's actuators. The sinewy tissue is what generates the forces that make our bodies move. In recent years, engineers have used real muscle tissue to actuate "biohybrid robots" made from both living tissue and synthetic parts. By pairing lab-grown muscles with synthetic skeletons, researchers are engineering a menagerie of muscle-powered crawlers, walkers, swimmers, and grippers.
When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to perform multiple tasks—say, performing a backward flip into a handstand—things get a little more complicated.
Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the generation of texts in different languages and even code. Many scientists and engineers also started using these models to conduct research or advance other technologies.
More than 150 Chinese companies are making humanoid robots but a market bubble risks forming in the rapidly growing futuristic industry, a Beijing official has warned.
Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.
Researchers at the Department of Mechanical Engineering, Seoul National University, have applied the principle of interlacing to an origami-inspired structure and developed a "Foldable-and-Rollable corruGated Structure (FoRoGated-Structure)" that can be smoothly folded and rolled up for compact storage while maintaining very high strength when deployed. The study was published in the journal Science Robotics on November 26.
Soft robots are prized for their agility and gentle touch, which makes them ideal for traversing delicate or enclosed spaces to perform various tasks, from cultivating baby corals in laboratories to inspecting industrial pipes in chemical plants. However, achieving embodied intelligence in such systems, where sensing, movement and power supply work together in an untethered configuration, remains a challenge.
Humanoid robots could guide travelers and manage crowds at some Chinese border crossings after Shenzhen-based UBTech Robotics said it had won a multimillion-dollar contract to supply its latest models for a trial project.
The World Robot Olympiad opened in Singapore on Wednesday with hundreds of international students, some as young as eight, set to compete using automatons to solve real-world problems.
A warm hand is enough to drive motion in tiny Salmonella-inspired robots that harness molecular-level dynamic bonding.
A warm hand is enough to drive motion in tiny Salmonella-inspired robots that harness molecular-level dynamic bonding.
If you've ever moved into a new home, you know the challenge of packing a moving truck—it's like solving a giant, three-dimensional puzzle. Everything needs to fit just right, and nothing can be left loose or unbalanced, or it risks shifting and breaking in transit.
Atlas, CU Denver's robotic dog, trotted in a crawlspace of the Anythink Nature Library construction site in Thornton last month, lights blinking as it maneuvered through tight, dark passageways. Back at the entrance, university engineering Associate Professor Moatassem Abdallah and seven students watched Atlas's live feed, discussing how its 360° video and data could inform the project's next steps.
Researchers have developed a new algorithm that combines two processes for personalizing robotic prosthetic devices to both optimize the movement of the prosthetic limb and—for the first time—also help a human user's body engage in a more natural walking pattern. The new approach can be used to help restore and maintain various aspects of user movement, with the goal of addressing health challenges associated with an amputation.