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Bike robot lands first unassisted front flip thanks to Ph.D. student

A bicycle robot from the Robotics and AI Institute (RAI) in Cambridge, Massachusetts, has become the first to perform an unassisted acrobatic front flip. RAI calls the bicycle robot an ultra-mobility vehicle (UMV). It can reach a height of 3 feet (0.9 meters) and can jump from the floor onto a platform. The contributions of a Georgia Tech Ph.D. student helped make these feats possible through a robot control policy he developed.

A classic brain test exposed AI’s biggest weakness

Researchers gave top AI models a classic attention test used in psychology and found a major flaw. While the models could correctly name colors in short lists, their performance deteriorated sharply as the task became longer and more complex. Some leading systems fell from over 90% accuracy to nearly complete failure.

Robots learn to anticipate chaos, but still fail to read a decidedly human signal

Cornell researchers are investigating the potential for using artificial intelligence to give robots social intelligence—the ability to read facial cues, anticipate the needs of those around them, and function within society. The new study tested the ability of vision language models (VLMs)—AI systems that can interpret and generate both visual information and language—to predict whether a tense scenario in a short video would end well or badly, such as a toddler carrying an overly full mug of coffee.

Autonomous drone can deliver life jackets to people that fall overboard

It's a race against the clock when someone falls overboard: People's chances of being found before they drown from exhaustion or freeze to death dwindle by the minute. Rescue efforts are often hampered by the time it takes a vessel at full throttle to halt so a rescue boat can be deployed and start searching for the person, who is by now far from the ship.

Robotic arm inspired by octopus uses tactile sensors in suction cups for autonomous underwater grasping

The oceans hide some of the most sophisticated solutions nature has ever developed and are an inexhaustible source of inspiration for the robotics of the future. The Bioinspired Soft Robotics research unit, coordinated by Barbara Mazzolai, associate director for robotics at the Istituto Italiano di Tecnologia (IIT—Italian Institute of Technology), has developed an octopus-inspired soft robotic arm that, thanks to the technology embedded in its artificial suction cups, is capable of sensing contact, estimating the intensity and direction of the applied force, and grasping objects autonomously, even in complex environments such as underwater settings.
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