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Engineers develop blueprint for robot swarms, mimicking bee and ant construction

Bees, ants and termites don't need blueprints. They may have queens, but none of these species breed architects or construction managers. Each insect worker, or drone, simply responds to cues like warmth or the presence or absence of building material. Unlike human manufacturing, the grand design emerges simply from the collective action of the drones—no central planning required.

Aerial robot with ‘elephant trunk’ developed for complex mid-air manipulation tasks

Professor Peng Lu and his team from the Department of Mechanical Engineering of Faculty of Engineering at the University of Hong Kong (HKU), have achieved a milestone in aerial manipulation technology. Their innovative Aerial Elephant Trunk (AET), a novel aerial continuum manipulator, has demonstrated unparalleled capability in performing complex aerial manipulation tasks, marking a significant leap forward for the development of the low-altitude economy.

AI generates data to help embodied agents ground language to 3D world

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect language to 3D spaces. The study, led by University of Michigan researchers, was presented at the Computer Vision and Pattern Recognition (CVPR) Conference in Nashville, Tennessee on June 15, and published on the arXiv preprint server.

Robots that feel heat, pain, and pressure? This new “skin” makes it possible

Researchers have created a revolutionary robotic skin that brings machines closer to human-like touch. Made from a flexible, low-cost gel material, this skin transforms the entire surface of a robotic hand into a sensitive, intelligent sensor. Unlike traditional robotic skins that rely on a patchwork of different sensors, this material can detect pressure, temperature, pain, and even distinguish multiple contact points all at once.
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