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Generative AI that imitates human motion

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.

Robotic system feeds people with severe mobility limitations

Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.

New approach uses generative AI to imitate human motion

An international group of researchers has created a new approach to imitating human motion by combining central pattern generators (CPGs) and deep reinforcement learning (DRL). 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 adaptation to environments with unstable surfaces.

Cloud Security is Broken: SentinelOne Aims to Fix It

Cloud security traditionally revolves around detection rather than protection. SentinelOne intends to change that by introducing a potentially game-changing solution—Singularity Cloud Native Security. This new offering moves the needle towards proactive, offensive measures that aim to protect as much as […]

The post Cloud Security is Broken: SentinelOne Aims to Fix It appeared first on TechSpective.

Teaching robots to move by sketching trajectories

Getting robots to perform even a simple task requires a great deal of behind-the-scenes work. Part of the challenge is planning and executing movements, everything from turning wheels to lifting a robotic arm. To make this happen, roboticists collaborate with programmers to develop a set of trajectories—or pathways—that are clear of obstacles and doable for the robot.

Video shows how swarms of miniature robots simultaneously clean up microplastics and microbes

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 use foundation models to discover new cancer imaging biomarkers

Researchers have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.

Scientists create robot snails that can move independently using tracks or work together to climb

A team of roboticists at the Chinese University of Hong Kong has created a robot snail with a helmet-like shell that moves by rolling around on bulldozer-like tracks. They have published a paper on their research in Nature Communications.
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