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 ...
Patient mobility in hospital settings is ripe for automation, with Rovex and Sphaira among the innovators taking different ...
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, ...
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, ...
Making machine perception reliable enough for real deployment requires more than better AI; it requires properly calibrated ...
Overview: AI-powered robotics projects offer practical experience in automation, navigation systems, and intelligent decision-making technologies.Students can d ...
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