Mobile robots must continuously estimate their position to navigate autonomously. However, satellite-based navigation systems are not always reliable: signals may degrade near buildings or become ...

Researchers in China have developed a neuromorphic chip inspired by the brain’s lateral geniculate nucleus to enable real-time robotic vision.

Imagine it rsquo;s a rainy Tuesday in February 2026 . An autonomous delivery robot is navigating a busy metropolitan sidewalk .

Abstract: Autonomous aerial target tracking in unstructured and GPS-denied environments remains a fundamental challenge in robotics. Many existing methods rely on motion capture systems, pre-mapped ...

New motion-detection hardware lets autonomous vehicles react faster than the human brain, cutting braking distance by over 13 ...

CoTracker is a fast transformer-based model that can track any point in a video. It brings to tracking some of the benefits of Optical Flow. [January 21, 2025] 📦 Kubric Dataset used for CoTracker3 ...

Abstract: This study presents the development of a fully integrated, simulation-based UAV system designed for automated object detection, multi-target tracking, and autonomous flight control in ...

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...

A joint research team from NIMS and University of Tsukuba have developed an autonomous AI network technology that allows multiple autonomous AI systems to efficiently discover new materials by ...