A human clearing junk out of an attic can often guess the contents of a box simply by picking it up and giving it a shake, without the need to see what's inside. Researchers from MIT, Amazon Robotics, ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Delivery robots made by companies such as Starship Technologies and Kiwibot autonomously make their way along city streets and through neighborhoods.

An 18-year-old student passionate about astronomy has made history by discovering 1.5 million previously unknown celestial objects. His algorithm using artificial intelligence could revolutionize the ...

Advances in computer vision and machine learning are helping ... by up to 10 times and found up to 30% more potential objects of interest than by visual inspection. “Using the latest AI-based ...

This paper introduces a fallback-oriented localization algorithm for AVs designed to operate during main localization source failures. The method leverages stationary vehicles as dynamic landmarks, ...

it was windy and cloud with a slight drizzle around 4:25 p.m. The agency warned the winds could impair vision when driving due to blowing dust and sand, and the potential for loose or unsecured ...

Abstract: Three-dimensional (3-D) target localization using one-dimensional ... a novel iterative weighted least squares (IWLS) algorithm to address the problem. To provide deeper insights, we present ...

India's computer vision sector is advancing rapidly, with AI and ML driving innovations across healthcare, retail, and security. Companies like Niramai and Haptik are leading the way.