Showing 20 articles starting at article 81

< Previous 20 articles        Next 20 articles >

Categories: Computer Science: Virtual Reality (VR), Engineering: Robotics Research

Return to the site home page

     (via sciencedaily.com)     Original source 

Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators -- neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity -- with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.

     (via sciencedaily.com)     Original source 

When old food packaging, discarded children's toys and other mismanaged plastic waste break down into microplastics, they become even harder to clean up from oceans and waterways. These tiny bits of plastic also attract bacteria, including those that cause disease. Researchers describe swarms of microscale robots (microrobots) that captured bits of plastic and bacteria from water. Afterward, the bots were decontaminated and reused.

     (via sciencedaily.com)     Original source 

Engineers created a catapillar-shaped robot that splits into segments and reassembles, hauls cargo, and crawls through twisting courses.

     (via sciencedaily.com)     Original source 

New research finds that, while an increasing number of minors are using virtual reality (VR) apps, not many parents recognize the extent of the security and privacy risks that are specific to VR technologies. The study also found that few parents are taking active steps to address those security and privacy issues, such as using parental controls built into the apps.

     (via sciencedaily.com)     Original source 

In the sports industry, player data collection aids in personalized training feedback. Researchers have now gathered a detailed dataset and laid the foundation for delivering coaching assistance and feedback through the same. Utilizing wearable sensors and machine learning, their dataset offers real-time feedback and optimized movement suggestions. With over 7,763 badminton swings analyzed, stroke quality assessment offers valuable insights, making badminton training more accessible and affordable.

     (via sciencedaily.com)     Original source 

A stretchy electronic skin could equip robots and other devices with the same softness and touch sensitivity as human skin, opening up new possibilities to perform tasks that require a great deal of precision and control of force.

     (via sciencedaily.com)     Original source 

New algorithm encourages robots to move more randomly to collect more diverse data for learning. In tests, robots started with no knowledge and then learned and correctly performed tasks within a single attempt. New model could improve safety and practicality of self-driving cars, delivery drones and more.

     (via sciencedaily.com)     Original source 

Researchers have developed a compact, single-shot polarization imaging system that can provide a complete picture of polarization. By using just two thin metasurfaces, the imaging system could unlock the vast potential of polarization imaging for a range of existing and new applications, including biomedical imaging, augmented and virtual reality systems and smart phones.

     (via sciencedaily.com)     Original source 

Working with teens, researchers designed RESeT: a snowy virtual world with six activities intended to improve mood. In a 3-week study of 44 teens, researchers found that most of the teens used the technology about twice a week without being prompted and reported lower stress levels after using the environment.

     (via sciencedaily.com)     Original source 

Common household products containing nanoparticles -- grains of engineered material so miniscule they are invisible to the eye -- could be contributing to a new form of indoor air pollution, according to a new study.

     (via sciencedaily.com)     Original source 

A four-legged robot trained with machine learning has learned to avoid falls by spontaneously switching between walking, trotting, and pronking -- a milestone for roboticists as well as biologists interested in animal locomotion.

     (via sciencedaily.com)     Original source 

Virtual reality dance made easier with crowd wave technique. Open source code can be downloaded for Quest 2 and 3.

     (via sciencedaily.com)     Original source 

Scientists have developed a smart, reusable adhesive more than ten times stronger than a gecko's feet adhesion, pointing the way for development of reusable superglue and grippers capable of holding heavy weights across rough and smooth surfaces. The research team found a way to maximize the adhesion of the smart adhesives by using shape-memory polymers, which can stick and detach easily when needed simply by heating them. This smart adhesive can support extremely heavy weights, opening new possibilities for robotic grippers that allow humans to scale walls effortlessly, or climbing robots that can cling onto ceilings for survey or repair applications.

     (via sciencedaily.com)     Original source 

Researchers have developed tiny, flexible devices that can wrap around individual nerve fibers without damaging them. The researchers combined flexible electronics and soft robotics techniques to develop the devices, which could be used for the diagnosis and treatment of a range of disorders, including epilepsy and chronic pain, or the control of prosthetic limbs.

     (via sciencedaily.com)     Original source 

For most human proteins, there are no small molecules known to bind them chemically (so called 'ligands'). Ligands frequently represent important starting points for drug development but this knowledge gap critically hampers the development of novel medicines. Researchers at CeMM, in a collaboration with Pfizer, have now leveraged and scaled a method to measure the binding activity of hundreds of small molecules against thousands of human proteins. This large-scale study revealed tens of thousands of ligand-protein interactions that can now be explored for the development of chemical tools and therapeutics. Moreover, powered by machine learning and artificial intelligence, it allows unbiased predictions of how small molecules interact with all proteins present in living human cells. These groundbreaking results have been published in the journal Science (DOI: 10.1126/science.adk5864), and all generated data and models are freely available for the scientific community.

     (via sciencedaily.com)     Original source 

Robotics engineers have worked for decades and invested many millions of research dollars in attempts to create a robot that can walk or run as well as an animal. And yet, it remains the case that many animals are capable of feats that would be impossible for robots that exist today.

     (via sciencedaily.com)     Original source 

Researchers have invented a new optical element that brings us one step closer to mixing the real and virtual worlds in an ordinary pair of eyeglasses using high-definition 3D holographic images.

     (via sciencedaily.com)     Original source 

Crossing roads for children can be a risky calculation, especially when the vehicles are self-driven. In a new study, researchers determined pre-teenage children are safest when self-driving vehicles signaled their intent to yield with a green light when they arrived at the intersection, then stopped.

     (via sciencedaily.com)     Original source 

A new robotic suction cup which can grasp rough, curved and heavy stone, has been developed by scientists.

     (via sciencedaily.com)     Original source 

A new typing model simulates the typing process instead of just predicting words.