AmbiVision is available as a software application within AI Skill Suite, powered by AmbiOS. The technology is already operating within existing customer deployments and AmbiVision's high-resolution ...

Gokul NA, co-founder of vision systems startup CynLr, was among a curated group of machine vision experts invited to be interviewed for Machine Design’s week of dedicated content on machine vision ...

Qualcomm teams up with NEURA Robotics to power humanoid robots with Dragonwing chips, aiming to expand its AI chip footprint in fast-growing robotics markets.

MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different ...

Forbes contributors publish independent expert analyses and insights. I'm a senior tech contributor who writes about science and technology MIT CSAIL researchers have developed a new system that ...

The growing MIPI A-PHY ecosystem, and a joint demonstration of the camera and platform, supported by Efinix and MVTec, will be unveiled at the ITE show in Yokohama, Japan HOD HASHARON, Israel, ...

Howard Huang is laser focused on turning his Shenzhen-based Orbbec into the world’s top supplier of advanced 3D vision sensors for humanoids.

Continually pushing the boundaries of industrial automation, robotics delivers unparalleled efficiencies and solutions that were once deemed the stuff of science fiction. Industries across sectors are ...

Whether in the kitchen or on a workshop floor, robot assistants that can fetch items for people could be extremely useful.

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by ...

Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the center of this transformation is the rise of AI-powered Robot Operating Systems ...

POMDP, an AI framework inspired by dogs that allows robots to use human gestures and language to find objects with 89% accuracy.