Researchers at KCL develop algorithms that identify causes of autonomous vehicle crashes and AI system failures.
Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...
At the exhibition, Xense Robotics presented a major showcase of VTLA model-driven dual-arm long-horizon compliant ...
A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles” was published by RMIT University, Kyungpook National University, ...
Earlier in May 2026, Tennant Company announced the X2 ROVR SCRUB, its smallest autonomous floor scrubber, aimed at automating cleaning in tight, high-traffic commercial spaces such as small retail, ...
It takes years of intense study and a steady hand for humans to perform surgery, but robots might have an easier time picking it up with today's AI technology. Researchers at Johns Hopkins University ...
Interesting Engineering on MSN
Robots learn to recover from dangerous stair falls using smart stabilising system
Robots that navigate staircases still face a major safety problem as losing balance often ...
Making machine perception reliable enough for real deployment requires more than better AI; it requires properly calibrated ...
In essence, the rise of self-driving vehicles represents a shift from reactive tools with specific -- and sometimes limited -- applications to full-blown intelligent robotics systems integrated with ...
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