Swarms of ‘ant-like’ robots lift heavy objects and hurl themselves over obstacles

Scientists have developed swarms of tiny magnetic robots that work together like ants to achieve Herculean feats, including traversing and picking up objects many times their size. The findings suggest that these microrobot swarms — operating under a rotating magnetic field — could be used to take on difficult tasks in challenging environments that individual …

Human-like artificial intelligence may face greater blame for moral violations

In a new study, participants tended to assign greater blame to artificial intelligences (AIs) involved in real-world moral transgressions when they perceived the AIs as having more human-like minds. Minjoo Joo of Sookmyung Women’s University in Seoul, Korea, presents these findings in the open-access journal PLOS ONE on December 18, 2024.

Tiny robots, big impact: Revolutionizing infertility treatment with magnetic microrobots

Infertility affects an estimated 186 million people worldwide, with fallopian tube obstruction contributing to 11%-67% of female infertility cases. Researchers have developed an innovative solution using a magnetically driven robotic microscrew to treat fallopian tube blockages. The microrobot is made from nonmagnetic photosensitive resin, coated with a thin iron layer to give it magnetic properties. …

Breaking barriers: Study uses AI to interpret American Sign Language in real-time

A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand gestures. Each image was annotated with 21 key landmarks on the hand, providing detailed spatial information about its structure and position. Combining MediaPipe and YOLOv8, a deep …

Zero-shot strategy enables robots to traverse complex environments without extra sensors or rough terrain training

Two roboticists from the University of Leeds and University College London have developed a framework that enables robots to traverse complex terrain without extra sensors or prior rough terrain training. Joseph Humphreys and Chengxu Zhou outlined the details of their framework in a paper posted to the arXiv preprint server.